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Posted to commits@spot.apache.org by ce...@apache.org on 2017/01/18 00:25:57 UTC
[1/4] incubator-spot git commit: Jan 2017 Project website updates and
new documentation section
Repository: incubator-spot
Updated Branches:
refs/heads/asf-site bb79a11ac -> 675520b70
http://git-wip-us.apache.org/repos/asf/incubator-spot/blob/675520b7/tag/github/index.html
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diff --git a/tag/github/index.html b/tag/github/index.html
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- <h3 class="h2 entry-title"><a href="../../apache-spot-3-most-asked-questions/" rel="bookmark" title="Apache Spot: Three Most-Asked Questions">Apache Spot (Incubating): Three Most-Asked Questions</a></h3>
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- While this is not the first blog post about Apache Spot, it is the first one by a creator of the solution. As a security data scientist in Intel’s Data Center Group, I joined a small team to start thinking about solving really hard problems in cloud analytics. The team grew, and out of that… <a class="excerpt-read-more" href="../../apache-spot-3-most-asked-questions/" title="Read Apache Spot: Three Most-Asked Questions">Read more »</a>
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- <a href="../../how-apache-spot-helps-create-well-stocked-data-lakes-and-catch-powerful-insights/">How Apache Spot (Incubating) Helps Create Well-Stocked Data Lakes and Catch Powerful Insights</a>
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http://git-wip-us.apache.org/repos/asf/incubator-spot/blob/675520b7/tag/open-network-insight/feed/index.html
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diff --git a/tag/open-network-insight/feed/index.html b/tag/open-network-insight/feed/index.html
index b30ebf2..4787a59 100755
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+++ b/tag/open-network-insight/feed/index.html
@@ -19,8 +19,8 @@
<item>
<title>Apache Spot (Incubating): Three Most-Asked Questions</title>
- <link>http://spot.incubator.apache.org/apache-spot-3-most-asked-questions/</link>
- <comments>http://spot.incubator.apache.org/apache-spot-3-most-asked-questions/#respond</comments>
+ <link>http://spot.incubator.apache.org/blog/apache-spot-3-most-asked-questions/</link>
+ <comments>http://spot.incubator.apache.org/blog/apache-spot-3-most-asked-questions/#respond</comments>
<pubDate>Tue, 29 Mar 2016 05:48:19 +0000</pubDate>
<dc:creator><![CDATA[oni-admin]]></dc:creator>
<category><![CDATA[Security Analytics]]></category>
@@ -29,12 +29,12 @@
<category><![CDATA[open source]]></category>
<guid isPermaLink="false">http://spot.incubator.apache.org/?p=62</guid>
- <description><![CDATA[While this is not the first blog post about Apache Spot, it is the first one by a creator of the solution. As a security data scientist in Intel’s Data Center Group, I joined a small team to start thinking about solving really hard problems in cloud analytics. The team grew, and out of that... <a class="excerpt-read-more" href="http://spot.incubator.apache.org/apache-spot-3-most-asked-questions/" title="Read Apache Spot: Three Most-Asked Questions">Read more »</a>]]></description>
+ <description><![CDATA[While this is not the first blog post about Apache Spot, it is the first one by a creator of the solution. As a security data scientist in Intel’s Data Center Group, I joined a small team to start thinking about solving really hard problems in cloud analytics. The team grew, and out of that... <a class="excerpt-read-more" href="http://spot.incubator.apache.org/blog/apache-spot-3-most-asked-questions/" title="Read Apache Spot: Three Most-Asked Questions">Read more »</a>]]></description>
<content:encoded><![CDATA[<p>While this is not the first blog post about Apache Spot, it is the first one by a creator of the solution. As a security data scientist in Intel’s Data Center Group, I joined a small team to start thinking about solving really hard problems in cloud analytics. The team grew, and out of that effort, came Apache Spot. Since we started talking about the project, these are the three questions I am asked the most.</p>
<p><strong>What Is Apache Spot?</strong><br />
Apache Spot is an open source, flow and packet analytics solution built on Hadoop. It combines big data processing, at-scale machine learning, and unique security analytics to put potential threats in front of defenders. While I am a data scientist today, I was a security investigator just a few years ago. I wanted to develop a solution that would put new tools and technology in play for defenders, but without requiring them to walk away from security and get a math degree.</p>
<p>We wanted to start with the hard problems, so we looked at the emerging need to analyze data that was produced at a scale outside what a lot of security solutions could handle. The data is being created today, and lack of visibility into that data gives attackers a profound advantage. Also, in this new era of security, many defenders (public and private sector) have to answer to their citizens and customers when these threats occur. In other words, an event that says “this attack was blocked” is insufficient; an organization needs to see what happened before, during, and after a particular machine was attacked at a particular time. The problem is summarized in a slide from a <a href="http://www.youtube.com/watch?v=mOZjMuBLYyM" target="_blank">FloCon talk</a><br />
-<a href="http://spot.incubator.apache.org/wp-content/uploads/2016/03/FloCon2015.png" rel="attachment wp-att-66"><img class="aligncenter size-full wp-image-66" src="http://spot.incubator.apache.org/wp-content/uploads/2016/03/FloCon2015.png" alt="open source packet and flow analytics" width="960" height="720" srcset="http://spot.incubator.apache.org/wp-content/uploads/2016/03/FloCon2015.png 960w, http://spot.incubator.apache.org/wp-content/uploads/2016/03/FloCon2015-300x225.png 300w, http://spot.incubator.apache.org/wp-content/uploads/2016/03/FloCon2015-768x576.png 768w" sizes="(max-width: 960px) 100vw, 960px" /></a></p>
+<a href="http://spot.incubator.apache.org/library/images/FloCon2015.png" rel="attachment wp-att-66"><img class="aligncenter size-full wp-image-66" src="http://spot.incubator.apache.org/library/images/FloCon2015.png" alt="open source packet and flow analytics" /></a></p>
<p>The gist is that while processing is a challenge at higher scales, the amount of insight gained is higher when analyzing flows and packets from key protocols (like DNS). And that’s how we got here.</p>
<p><strong>Why Intel?</strong></p>
<p>At Intel, I have worked in IT, for a security product company (McAfee), and in the Data Center Group. Intel IT was an early pioneer of the concept of proactive investigations to protect intellectual property. McAfee (now Intel Security Group) has a broad customer base in the realms of network, endpoint, and content security, to name only a few. And the Intel Data Center group has strategic partnerships with Cloudera and Accenture, as well as some pretty cool analytics efforts of their own. Add the performance benefits we achieve with Intel Architecture, especially the Intel MPI Library and Intel Math Kernel Library, and it certainly makes sense to me.</p>
@@ -44,7 +44,7 @@ Apache Spot is an open source, flow and packet analytics solution built on Hadoo
<p>Fork us on Github!</p>
<p>Grant Babb</p>
]]></content:encoded>
- <wfw:commentRss>http://spot.incubator.apache.org/apache-spot-3-most-asked-questions/feed/</wfw:commentRss>
+ <wfw:commentRss>http://spot.incubator.apache.org/blog/apache-spot-3-most-asked-questions/feed/</wfw:commentRss>
<slash:comments>0</slash:comments>
</item>
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http://git-wip-us.apache.org/repos/asf/incubator-spot/blob/675520b7/tag/open-network-insight/index.html
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- While this is not the first blog post about Apache Spot, it is the first one by a creator of the solution. As a security data scientist in Intel’s Data Center Group, I joined a small team to start thinking about solving really hard problems in cloud analytics. The team grew, and out of that… <a class="excerpt-read-more" href="../../apache-spot-3-most-asked-questions/" title="Read Apache Spot: Three Most-Asked Questions">Read more »</a>
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diff --git a/tag/open-source/feed/index.html b/tag/open-source/feed/index.html
index 42cd1c0..5e237bb 100755
--- a/tag/open-source/feed/index.html
+++ b/tag/open-source/feed/index.html
@@ -19,8 +19,8 @@
<item>
<title>Apache Spot (Incubating): Three Most-Asked Questions</title>
- <link>http://spot.incubator.apache.org/open-network-insight-3-most-asked-questions/</link>
- <comments>http://spot.incubator.apache.org/open-network-insight-3-most-asked-questions/#respond</comments>
+ <link>http://spot.incubator.apache.org/blog/open-network-insight-3-most-asked-questions/</link>
+ <comments>http://spot.incubator.apache.org/blog/open-network-insight-3-most-asked-questions/#respond</comments>
<pubDate>Tue, 29 Mar 2016 05:48:19 +0000</pubDate>
<dc:creator><![CDATA[oni-admin]]></dc:creator>
<category><![CDATA[Security Analytics]]></category>
@@ -29,12 +29,12 @@
<category><![CDATA[open source]]></category>
<guid isPermaLink="false">http://spot.incubator.apache.org/?p=62</guid>
- <description><![CDATA[While this is not the first blog post about Apache Spot, it is the first one by a creator of the solution. As a security data scientist in Intel’s Data Center Group, I joined a small team to start thinking about solving really hard problems in cloud analytics. The team grew, and out of that... <a class="excerpt-read-more" href="http://spot.incubator.apache.org/open-network-insight-3-most-asked-questions/" title="Read Apache Spot: Three Most-Asked Questions">Read more »</a>]]></description>
+ <description><![CDATA[While this is not the first blog post about Apache Spot, it is the first one by a creator of the solution. As a security data scientist in Intel’s Data Center Group, I joined a small team to start thinking about solving really hard problems in cloud analytics. The team grew, and out of that... <a class="excerpt-read-more" href="http://spot.incubator.apache.org/blog/open-network-insight-3-most-asked-questions/" title="Read Apache Spot: Three Most-Asked Questions">Read more »</a>]]></description>
<content:encoded><![CDATA[<p>While this is not the first blog post about Apache Spot, it is the first one by a creator of the solution. As a security data scientist in Intel’s Data Center Group, I joined a small team to start thinking about solving really hard problems in cloud analytics. The team grew, and out of that effort, came Apache Spot. Since we started talking about the project, these are the three questions I am asked the most.</p>
<p><strong>What Is Apache Spot?</strong><br />
Apache Spot is an open source, flow and packet analytics solution built on Hadoop. It combines big data processing, at-scale machine learning, and unique security analytics to put potential threats in front of defenders. While I am a data scientist today, I was a security investigator just a few years ago. I wanted to develop a solution that would put new tools and technology in play for defenders, but without requiring them to walk away from security and get a math degree.</p>
<p>We wanted to start with the hard problems, so we looked at the emerging need to analyze data that was produced at a scale outside what a lot of security solutions could handle. The data is being created today, and lack of visibility into that data gives attackers a profound advantage. Also, in this new era of security, many defenders (public and private sector) have to answer to their citizens and customers when these threats occur. In other words, an event that says “this attack was blocked” is insufficient; an organization needs to see what happened before, during, and after a particular machine was attacked at a particular time. The problem is summarized in a slide from a <a href="http://www.youtube.com/watch?v=mOZjMuBLYyM" target="_blank">FloCon talk</a><br />
-<a href="http://spot.incubator.apache.org/wp-content/uploads/2016/03/FloCon2015.png" rel="attachment wp-att-66"><img class="aligncenter size-full wp-image-66" src="http://spot.incubator.apache.org/wp-content/uploads/2016/03/FloCon2015.png" alt="open source packet and flow analytics" width="960" height="720" srcset="http://spot.incubator.apache.org/wp-content/uploads/2016/03/FloCon2015.png 960w, http://spot.incubator.apache.org/wp-content/uploads/2016/03/FloCon2015-300x225.png 300w, http://spot.incubator.apache.org/wp-content/uploads/2016/03/FloCon2015-768x576.png 768w" sizes="(max-width: 960px) 100vw, 960px" /></a></p>
+<a href="http://spot.incubator.apache.org/library/images/FloCon2015.png" rel="attachment wp-att-66"><img class="aligncenter size-full wp-image-66" src="http://spot.incubator.apache.org/library/images/FloCon2015.png" alt="open source packet and flow analytics" /></a></p>
<p>The gist is that while processing is a challenge at higher scales, the amount of insight gained is higher when analyzing flows and packets from key protocols (like DNS). And that’s how we got here.</p>
<p><strong>Why Intel?</strong></p>
<p>At Intel, I have worked in IT, for a security product company (McAfee), and in the Data Center Group. Intel IT was an early pioneer of the concept of proactive investigations to protect intellectual property. McAfee (now Intel Security Group) has a broad customer base in the realms of network, endpoint, and content security, to name only a few. And the Intel Data Center group has strategic partnerships with Cloudera and Accenture, as well as some pretty cool analytics efforts of their own. Add the performance benefits we achieve with Intel Architecture, especially the Intel MPI Library and Intel Math Kernel Library, and it certainly makes sense to me.</p>
@@ -44,7 +44,7 @@ Apache Spot is an open source, flow and packet analytics solution built on Hadoo
<p>Fork us on Github!</p>
<p>Grant Babb</p>
]]></content:encoded>
- <wfw:commentRss>http://spot.incubator.apache.org/open-network-insight-3-most-asked-questions/feed/</wfw:commentRss>
+ <wfw:commentRss>http://spot.incubator.apache.org/blog/open-network-insight-3-most-asked-questions/feed/</wfw:commentRss>
<slash:comments>0</slash:comments>
</item>
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- March 29, 2016
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- <p>
- While this is not the first blog post about Apache Spot, it is the first one by a creator of the solution. As a security data scientist in Intel’s Data Center Group, I joined a small team to start thinking about solving really hard problems in cloud analytics. The team grew, and out of that… <a class="excerpt-read-more" href="../../apache-spot-3-most-asked-questions/" title="Read Apache Spot: Three Most-Asked Questions">Read more »</a>
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[2/4] incubator-spot git commit: Jan 2017 Project website updates and
new documentation section
Posted by ce...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-spot/blob/675520b7/category/threat-analysis-tools/index.html
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- <h1 class="page-title">Category: Threat Analysis Tools</h1>
-
- <article id="post-136" class="cf post-136 post type-post status-publish format-standard hentry category-data-science category-ipython-notebooks category-threat-analysis-tools" role="article">
-
- <header class="entry-header article-header">
-
- <h3 class="h2 entry-title"><a href="../../jupyter-notebooks-for-data-analysis/" rel="bookmark" title="Jupyter Notebooks for Data Analysis">Jupyter Notebooks for Data Analysis</a></h3>
- <p class="byline entry-meta vcard">
- <time class="updated entry-time" datetime="2016-09-22" itemprop="datePublished">
- September 22, 2016
- </time>
- </span>
- </p>
-
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-
- <section class="entry-content cf">
-
- <p>
- Why Does Apache Spot Include iPython notebooks? The project team wants Apache Spot to be a versatile tool that can be used by anyone. This means that data scientists and developers need to be able to query and handle the source data to find all the information they need for their decision making. The iPython… <a class="excerpt-read-more" href="../../jupyter-notebooks-for-data-analysis/" title="Read Jupyter Notebooks for Data Analysis">Read more »</a>
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- <a href="../../jupyter-notebooks-for-data-analysis/">Jupyter Notebooks for Data Analysis</a>
- </li>
- <li>
- <a href="../../apache-spot-and-cybersecurity-using-netflows-to-detect-threats-to-critical-infrastructure/">Apache Spot (Incubating) and Cybersecurity \u2014 Using NetFlows to Detect Threats to Critical Infrastructure</a>
- </li>
- <li>
- <a href="../../how-apache-spot-helps-create-well-stocked-data-lakes-and-catch-powerful-insights/">How Apache Spot (Incubating) Helps Create Well-Stocked Data Lakes and Catch Powerful Insights</a>
- </li>
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- <a href="../../apache-spot-3-most-asked-questions/">Apache Spot (Incubating): 3 Most-Asked Questions</a>
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- <h4 class="widgettitle">Archives</h4>
- <ul>
- <li>
- <a href='../../2016/10/'>October 2016</a>
- </li>
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- <a href='../../2016/09/'>September 2016</a>
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http://git-wip-us.apache.org/repos/asf/incubator-spot/blob/675520b7/category/uncategorized/feed/index.html
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diff --git a/category/uncategorized/feed/index.html b/category/uncategorized/feed/index.html
index 4d92163..2f7b180 100755
--- a/category/uncategorized/feed/index.html
+++ b/category/uncategorized/feed/index.html
@@ -19,19 +19,19 @@
<item>
<title>Jupyter Notebooks for Data Analysis</title>
- <link>http://spot.incubator.apache.org/jupyter-notebooks-for-data-analysis/</link>
- <comments>http://spot.incubator.apache.org/jupyter-notebooks-for-data-analysis/#respond</comments>
+ <link>http://spot.incubator.apache.org/blog/jupyter-notebooks-for-data-analysis/</link>
+ <comments>http://spot.incubator.apache.org/blog/jupyter-notebooks-for-data-analysis/#respond</comments>
<pubDate>Thu, 22 Sep 2016 21:28:12 +0000</pubDate>
<dc:creator><![CDATA[oni-admin]]></dc:creator>
<category><![CDATA[Uncategorized]]></category>
<guid isPermaLink="false">http://spot.incubator.apache.org/?p=136</guid>
- <description><![CDATA[Why Does Apache Spot Include iPython notebooks? The project team wants Apache Spot needs to be a versatile tool that can be used by anyone. This means that data scientists and developers need to be able to query and handle the source data to find all the information they need for their decision making. The... <a class="excerpt-read-more" href="http://spot.incubator.apache.org/jupyter-notebooks-for-data-analysis/" title="Read Jupyter Notebooks for Data Analysis">Read more »</a>]]></description>
+ <description><![CDATA[Why Does Apache Spot Include iPython notebooks? The project team wants Apache Spot needs to be a versatile tool that can be used by anyone. This means that data scientists and developers need to be able to query and handle the source data to find all the information they need for their decision making. The... <a class="excerpt-read-more" href="http://spot.incubator.apache.org/blog/jupyter-notebooks-for-data-analysis/" title="Read Jupyter Notebooks for Data Analysis">Read more »</a>]]></description>
<content:encoded><![CDATA[<p><strong>Why Does Apache Spot Include iPython notebooks? </strong></p>
<p>The project team wants Apache Spot needs to be a versatile tool that can be used by anyone. This means that data scientists and developers need to be able to query and handle the source data to find all the information they need for their decision making. The iPython Notebook is an appropriate platform for easy data exploration. One of its biggest advantages is that it provides parallel and distributed computing to enable code execution and debugging in an interactive environment \u2013 thus the \u2018i\u2019 in iPython.</p>
<p>The iPython notebook is a web based interactive computational environment that provides access to the Python shell. While iPython notebooks were originally designed to work with the Python language, they support a number of other programming languages, including Ruby, Scala, Julia, R, Go, C, C++, Java and Perl. There are also multiple additional packages that can be used to get the most out of this highly-customizable tool.</p>
<p>Starting on version 4.0, most notebook functionalities are now part of the Project Jupyter, while iPython remains as the kernel to work with Python code in the notebooks.</p>
-<img src="http://spot.incubator.apache.org/wp-content/uploads/2016/10/iPython-1.png" alt="ipython" width="361" height="107" class="aligncenter size-full wp-image-140" srcset="http://spot.incubator.apache.org/wp-content/uploads/2016/10/iPython-1.png 361w, http://spot.incubator.apache.org/wp-content/uploads/2016/10/iPython-1-300x89.png 300w" sizes="(max-width: 361px) 100vw, 361px" />
+<img src="http://spot.incubator.apache.org/library/images/iPython-1.png" alt="ipython" class="aligncenter size-full wp-image-140" />
<p><strong>IPython with Apache Spot for Network Threat Detection</strong></p>
<p><em>NOTE:� This is not intended to be a step-by-step tutorial on how to code a threat analysis in Apache Spot, but more like an introduction on how to approach the suspicions of a security breach.</em></p>
<p>Although machine learning (ML) will do most of the work detecting anomalies in the traffic, Apache Spot also includes two notebook templates that can get you started on this. The <em>Threat_Investigation_master.ipynb</em> is designed to query the raw data table to find all connections in a day that are related to any threat you select \u2013 even connections that were not necessarily flagged as suspicious by ML on a first run. This gives us the chance to get a new data subset and here is where the fun begins.</p>
@@ -53,23 +53,23 @@
<p>This post was meant to be just a brief introduction of how you can use iPython notebooks in Apache Spot to perform further data analysis and include it our executive report (in addition to the already included Story board). Although this is not the only way you can do this, it is a very interactive and fun way to do it. You\u2019ll also see that the overall processing time is very short \u2013 thanks to the iPython notebook task parallelism ability.</p>
<p>We want to hear from YOU! Have you used iPython notebooks before? How do you feel about having this tool in Apache Spot? If you\u2019re interested in further data analysis through interactive charts, a new post is coming soon on D3 and jQuery data visualization. Also, check back soon to read more on this and other Cybersecurity subjects.</p>
]]></content:encoded>
- <wfw:commentRss>http://spot.incubator.apache.org/jupyter-notebooks-for-data-analysis/feed/</wfw:commentRss>
+ <wfw:commentRss>http://spot.incubator.apache.org/blog/jupyter-notebooks-for-data-analysis/feed/</wfw:commentRss>
<slash:comments>0</slash:comments>
</item>
<item>
<title>How Apache (Incubating) Spot Helps Create Well-Stocked Data Lakes and Catch Powerful Insights</title>
- <link>http://spot.incubator.apache.org/how-apache-spot-helps-create-well-stocked-data-lakes-and-catch-powerful-insights/</link>
- <comments>http://spot.incubator.apache.org/how-apache-spot-helps-create-well-stocked-data-lakes-and-catch-powerful-insights/#respond</comments>
+ <link>http://spot.incubator.apache.org/blog/how-apache-spot-helps-create-well-stocked-data-lakes-and-catch-powerful-insights/</link>
+ <comments>http://spot.incubator.apache.org/blog/how-apache-spot-helps-create-well-stocked-data-lakes-and-catch-powerful-insights/#respond</comments>
<pubDate>Mon, 08 Aug 2016 07:59:41 +0000</pubDate>
<dc:creator><![CDATA[oni-admin]]></dc:creator>
<category><![CDATA[Uncategorized]]></category>
<guid isPermaLink="false">http://spot.incubator.apache.org/?p=113</guid>
- <description><![CDATA[About four years ago, the era of the Big Data analytics began. Paired with advanced analytics, massive volumes of data can be culled to not only inform critical decisions, but also to simulate sophisticated \u201cwhat if\u201d scenarios that allow companies to gain competitive advantages by generating and predicting different scenarios. For example, a financial services... <a class="excerpt-read-more" href="http://spot.incubator.apache.org/how-apache-spot-helps-create-well-stocked-data-lakes-and-catch-powerful-insights/" title="Read How Apache Spot Helps Create Well-Stocked Data Lakes and Catch Powerful Insights">Read more »</a>]]></description>
+ <description><![CDATA[About four years ago, the era of the Big Data analytics began. Paired with advanced analytics, massive volumes of data can be culled to not only inform critical decisions, but also to simulate sophisticated \u201cwhat if\u201d scenarios that allow companies to gain competitive advantages by generating and predicting different scenarios. For example, a financial services... <a class="excerpt-read-more" href="http://spot.incubator.apache.org/blog/how-apache-spot-helps-create-well-stocked-data-lakes-and-catch-powerful-insights/" title="Read How Apache Spot Helps Create Well-Stocked Data Lakes and Catch Powerful Insights">Read more »</a>]]></description>
<content:encoded><![CDATA[<p>About four years ago, the era of the Big Data analytics began. Paired with advanced analytics, massive volumes of data can be culled to not only inform critical decisions, but also to simulate sophisticated \u201cwhat if\u201d scenarios that allow companies to gain competitive advantages by generating and predicting different scenarios. For example, a financial services company can more accurately determine what other products to offer a customer, and in what order, based on a wide variety of data, then use advanced analytics to gather insights. Creating a data lake that can be effectively used for predictive analytics raises tough questions \u2014 what data sources should we use? How should this data be collected and ingested? What are the best algorithms to analyze the data, and how should we present these results to our decision maker?</p>
<p>Apache Spot can help to solve most of these issues. Following is a description of the Apache Spot, which is designed to facilitate Big Data analytics scenarios like the financial services company\u2019s question about the right product to offer customers.</p>
-<a href="http://spot.incubator.apache.org/wp-content/uploads/2016/09/ONI_Architecture-Diagram_1300_v4.png"><img src="http://spot.incubator.apache.org/wp-content/uploads/2016/09/ONI_Architecture-Diagram_1300_v4.png" alt="oni_architecture-diagram_1300_v4" width="1300" height="675" class="alignnone size-full wp-image-114" srcset="http://spot.incubator.apache.org/wp-content/uploads/2016/09/ONI_Architecture-Diagram_1300_v4.png 1300w, http://spot.incubator.apache.org/wp-content/uploads/2016/09/ONI_Architecture-Diagram_1300_v4-300x156.png 300w, http://spot.incubator.apache.org/wp-content/uploads/2016/09/ONI_Architecture-Diagram_1300_v4-768x399.png 768w, http://spot.incubator.apache.org/wp-content/uploads/2016/09/ONI_Architecture-Diagram_1300_v4-1024x532.png 1024w" sizes="(max-width: 1300px) 100vw, 1300px" /></a>
+<a href="http://spot.incubator.apache.org/library/images/ONI_Architecture-Diagram_1300_v4.png"><img src="http://spot.incubator.apache.org/library/images/ONI_Architecture-Diagram_1300_v4.png" alt="oni_architecture-diagram_1300_v4" class="alignnone size-full wp-image-114" /></a>
<h3><strong>Apache Spot Core Components</strong></h3>
<p>The Apache Spot Core is composed of three main components \u2014 data integration (collectors), data store (HDFS here, but can also be a non-SQL database) and machine learning.</p>
<p>In this diagram, the top left shows Apache Spot Data Sources, which include the collection of the information that will be used to create a data lake. The process is simple. Define a pull or push from the source of information then capture this information on Apache Spot\u2019s \u201ccollectors.\u201d The collectors are processes that interpret the information that is sent, then write it to the HDFS system in the Apache Spot cluster. The HDFS stores the data lake and ensures that resources can grow while remaining economical at every size. The Apache Spot algorithms are part of machine learning and are used to detect the uncommon information in the data lake.</p>
@@ -80,7 +80,7 @@
<h3><strong>Customizable Open Source</strong></h3>
<p>Because Apache Spot is an open-source project, most of the components depicted here can be modified by the end user.</p>
]]></content:encoded>
- <wfw:commentRss>http://spot.incubator.apache.org/how-apache-spot-helps-create-well-stocked-data-lakes-and-catch-powerful-insights/feed/</wfw:commentRss>
+ <wfw:commentRss>http://spot.incubator.apache.org/blog/how-apache-spot-helps-create-well-stocked-data-lakes-and-catch-powerful-insights/feed/</wfw:commentRss>
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- By Rob Kent, Vice President of Marketing at Cybraics Competition is widely considered to be a healthy and positive thing, traditionally viewed as providing options for customers and fueling innovation. In the world of cybersecurity there is no shortage of competition, in fact cybersecurity is one of the most crowded and fast-growing areas of technology…. <a class="excerpt-read-more" href="../../strength-in-numbers-why-consider-open-source-cybersecurity-analytics/" title="Read Strength in Numbers: Why Consider Open Source Cybersecurity Analytics">Read more »</a>
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- About four years ago, the era of the Big Data analytics began. Paired with advanced analytics, massive volumes of data can be culled to not only inform critical decisions, but also to simulate sophisticated \u201cwhat if\u201d scenarios that allow companies to gain competitive advantages by generating and predicting different scenarios. For example, a financial services… <a class="excerpt-read-more" href="../../how-apache-spot-helps-create-well-stocked-data-lakes-and-catch-powerful-insights/" title="Read How Apache Spot Helps Create Well-Stocked Data Lakes and Catch Powerful Insights">Read more »</a>
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<item>
<title>Strength in Numbers: Why Consider Open Source Cybersecurity Analytics</title>
- <link>http://spot.incubator.apache.org/strength-in-numbers-why-consider-open-source-cybersecurity-analytics/</link>
- <comments>http://spot.incubator.apache.org/strength-in-numbers-why-consider-open-source-cybersecurity-analytics/#respond</comments>
+ <link>http://spot.incubator.apache.org/blog/strength-in-numbers-why-consider-open-source-cybersecurity-analytics/</link>
+ <comments>http://spot.incubator.apache.org/blog/strength-in-numbers-why-consider-open-source-cybersecurity-analytics/#respond</comments>
<pubDate>Fri, 21 Oct 2016 15:48:33 +0000</pubDate>
<dc:creator><![CDATA[oni-admin]]></dc:creator>
<category><![CDATA[Uncategorized]]></category>
<guid isPermaLink="false">http://spot.incubator.apache.org/?p=149</guid>
- <description><![CDATA[By Rob Kent, Vice President of Marketing at Cybraics Competition is widely considered to be a healthy and positive thing, traditionally viewed as providing options for customers and fueling innovation. In the world of cybersecurity there is no shortage of competition, in fact cybersecurity is one of the most crowded and fast-growing areas of technology.... <a class="excerpt-read-more" href="http://spot.incubator.apache.org/strength-in-numbers-why-consider-open-source-cybersecurity-analytics/" title="Read Strength in Numbers: Why Consider Open Source Cybersecurity Analytics">Read more »</a>]]></description>
+ <description><![CDATA[By Rob Kent, Vice President of Marketing at Cybraics Competition is widely considered to be a healthy and positive thing, traditionally viewed as providing options for customers and fueling innovation. In the world of cybersecurity there is no shortage of competition, in fact cybersecurity is one of the most crowded and fast-growing areas of technology.... <a class="excerpt-read-more" href="http://spot.incubator.apache.org/blog/strength-in-numbers-why-consider-open-source-cybersecurity-analytics/" title="Read Strength in Numbers: Why Consider Open Source Cybersecurity Analytics">Read more »</a>]]></description>
<content:encoded><![CDATA[<p>By Rob Kent, Vice President of Marketing at Cybraics</p>
<p>Competition is widely considered to be a healthy and positive thing, traditionally viewed as providing options for customers and fueling innovation. In the world of cybersecurity there is no shortage of competition, in fact cybersecurity is one of the most crowded and fast-growing areas of technology. The problem is, with so much competition, are we losing sight of the real goal: protecting our customers against the adversary? With so much focus on competing and winning customers, are we negating one of the most fundamental advantages that we could have in the fight against cybercrime? Cooperation. Our adversaries are not shy about working together\u2026 the community is strong and growing, and while there is no doubt some healthy competition, the sharing of tools and techniques is certainly far more common than in the commercial world. Like Open Source software, security can only benefit and grow through peer-reviewed submissions. Citing Linus Law by Eric S. Raymond from his bo
ok The Cathedral and the Bazaar, “Given a large enough beta-tester and co-developer base, almost every problem will be characterized quickly and the fix will be obvious to someone.” </p>
<p>This, of course, is not new information. People have been pointing this out for years. What is encouraging is that a few organizations are finally stepping up to the plate to try and change this paradigm in cybersecurity. When it comes to cybersecurity, many have touted big data analytics as one of the key initiatives to combat adversaries. The problem is that big data in itself has its own set of challenges, one of the issues is that it is often looked at as a costly problem to store and scale as opposed to being used as another tool in an organization\u2019s arsenal. Apache Spot, a project pioneered by Intel and Cloudera, is aiming to fix this problem. </p>
<p>By creating an open source community, the hope is that identifying security threats within large data sets will become a manageable task for all organizations, despite their size or scale. Organizations overwhelmed with their data or those that aren\u2019t seeing results will have a community to turn to along with a common reference to compare results. By working together on Apache Spot, organizations will be able to share their experiences on how they\u2019ve tackled or how they need to tackle these issues with a common system to reference. Data is never going to get smaller across organizations\u2019 core systems, so in many ways an organization just now beginning to dig into their data stores is basically starting from scratch. Having the ability to reference an open common model gives the opportunity for both those starting out and those seasoned, to have an open exchange of varying knowledge. </p>
<p>By supporting Apache Spot, Cybraics is hoping to learn as much as we contribute while we collaborate and take part in this Open Source Initiative. With the end result a set of guidelines for organizations to deploy a data analytics platform to find threats within their ecosystem, and a community that will share their experiences with the next generation of data and security professionals, perhaps we can all start actually working together to start leveling the playing field. </p>
]]></content:encoded>
- <wfw:commentRss>http://spot.incubator.apache.org/strength-in-numbers-why-consider-open-source-cybersecurity-analytics/feed/</wfw:commentRss>
+ <wfw:commentRss>http://spot.incubator.apache.org/blog/strength-in-numbers-why-consider-open-source-cybersecurity-analytics/feed/</wfw:commentRss>
<slash:comments>0</slash:comments>
</item>
<item>
<title>Jupyter Notebooks for Data Analysis</title>
- <link>http://spot.incubator.apache.org/jupyter-notebooks-for-data-analysis/</link>
- <comments>http://spot.incubator.apache.org/jupyter-notebooks-for-data-analysis/#respond</comments>
+ <link>http://spot.incubator.apache.org/blog/jupyter-notebooks-for-data-analysis/</link>
+ <comments>http://spot.incubator.apache.org/blog/jupyter-notebooks-for-data-analysis/#respond</comments>
<pubDate>Thu, 22 Sep 2016 21:28:12 +0000</pubDate>
<dc:creator><![CDATA[oni-admin]]></dc:creator>
<category><![CDATA[Uncategorized]]></category>
<guid isPermaLink="false">http://spot.incubator.apache.org/?p=136</guid>
- <description><![CDATA[Why Does Apache Spot Include iPython notebooks? The project team wants Apache Spot needs to be a versatile tool that can be used by anyone. This means that data scientists and developers need to be able to query and handle the source data to find all the information they need for their decision making. The... <a class="excerpt-read-more" href="http://spot.incubator.apache.org/jupyter-notebooks-for-data-analysis/" title="Read Jupyter Notebooks for Data Analysis">Read more »</a>]]></description>
+ <description><![CDATA[Why Does Apache Spot Include iPython notebooks? The project team wants Apache Spot needs to be a versatile tool that can be used by anyone. This means that data scientists and developers need to be able to query and handle the source data to find all the information they need for their decision making. The... <a class="excerpt-read-more" href="http://spot.incubator.apache.org/blog/jupyter-notebooks-for-data-analysis/" title="Read Jupyter Notebooks for Data Analysis">Read more »</a>]]></description>
<content:encoded><![CDATA[<p><strong>Why Does Apache Spot Include iPython notebooks? </strong></p>
<p>The project team wants Apache Spot needs to be a versatile tool that can be used by anyone. This means that data scientists and developers need to be able to query and handle the source data to find all the information they need for their decision making. The iPython Notebook is an appropriate platform for easy data exploration. One of its biggest advantages is that it provides parallel and distributed computing to enable code execution and debugging in an interactive environment \u2013 thus the \u2018i\u2019 in iPython.</p>
<p>The iPython notebook is a web based interactive computational environment that provides access to the Python shell. While iPython notebooks were originally designed to work with the Python language, they support a number of other programming languages, including Ruby, Scala, Julia, R, Go, C, C++, Java and Perl. There are also multiple additional packages that can be used to get the most out of this highly-customizable tool.</p>
<p>Starting on version 4.0, most notebook functionalities are now part of the Project Jupyter, while iPython remains as the kernel to work with Python code in the notebooks.</p>
-<img src="http://spot.incubator.apache.org/wp-content/uploads/2016/10/iPython-1.png" alt="ipython" width="361" height="107" class="aligncenter size-full wp-image-140" srcset="http://spot.incubator.apache.org/wp-content/uploads/2016/10/iPython-1.png 361w, http://spot.incubator.apache.org/wp-content/uploads/2016/10/iPython-1-300x89.png 300w" sizes="(max-width: 361px) 100vw, 361px" />
+<img src="http://spot.incubator.apache.org/library/images/iPython-1.png" alt="ipython" class="aligncenter size-full wp-image-140" />
<p><strong>IPython with Apache Spot for Network Threat Detection</strong></p>
<p><em>NOTE:� This is not intended to be a step-by-step tutorial on how to code a threat analysis in Apache Spot, but more like an introduction on how to approach the suspicions of a security breach.</em></p>
<p>Although machine learning (ML) will do most of the work detecting anomalies in the traffic, Apache Spot also includes two notebook templates that can get you started on this. The <em>Threat_Investigation_master.ipynb</em> is designed to query the raw data table to find all connections in a day that are related to any threat you select \u2013 even connections that were not necessarily flagged as suspicious by ML on a first run. This gives us the chance to get a new data subset and here is where the fun begins.</p>
@@ -73,20 +73,20 @@
<p>This post was meant to be just a brief introduction of how you can use iPython notebooks in Apache Spot to perform further data analysis and include it our executive report (in addition to the already included Story board). Although this is not the only way you can do this, it is a very interactive and fun way to do it. You\u2019ll also see that the overall processing time is very short \u2013 thanks to the iPython notebook task parallelism ability.</p>
<p>We want to hear from YOU! Have you used iPython notebooks before? How do you feel about having this tool in Apache Spot? If you\u2019re interested in further data analysis through interactive charts, a new post is coming soon on D3 and jQuery data visualization. Also, check back soon to read more on this and other Cybersecurity subjects.</p>
]]></content:encoded>
- <wfw:commentRss>http://spot.incubator.apache.org/jupyter-notebooks-for-data-analysis/feed/</wfw:commentRss>
+ <wfw:commentRss>http://spot.incubator.apache.org/blog/jupyter-notebooks-for-data-analysis/feed/</wfw:commentRss>
<slash:comments>0</slash:comments>
</item>
<item>
<title>Apache Spot (Incubating) and Cybersecurity \u2014 Using NetFlows to Detect Threats to Critical Infrastructure</title>
- <link>http://spot.incubator.apache.org/apache-spot-and-cybersecurity-using-netflows-to-detect-threats-to-critical-infrastructure/</link>
- <comments>http://spot.incubator.apache.org/apache-spot-and-cybersecurity-using-netflows-to-detect-threats-to-critical-infrastructure/#respond</comments>
+ <link>http://spot.incubator.apache.org/blog/apache-spot-and-cybersecurity-using-netflows-to-detect-threats-to-critical-infrastructure/</link>
+ <comments>http://spot.incubator.apache.org/blog/apache-spot-and-cybersecurity-using-netflows-to-detect-threats-to-critical-infrastructure/#respond</comments>
<pubDate>Mon, 08 Aug 2016 08:00:32 +0000</pubDate>
<dc:creator><![CDATA[oni-admin]]></dc:creator>
<category><![CDATA[Cybersecurity]]></category>
<guid isPermaLink="false">http://spot.incubator.apache.org/?p=117</guid>
- <description><![CDATA[The \u201cfirst\u201d documented cybersecurity case was the worm replication, which was initiated by Robert T. Morris on November 2, 1988. Wow! Here we are in 2016, 28 years later, with viruses and worms giving way to Trojan horses and polymorphic code. Nowadays, we are also fighting against DDoS, phishing, spear phishing attacks, command and controls... <a class="excerpt-read-more" href="http://spot.incubator.apache.org/apache-spot-and-cybersecurity-using-netflows-to-detect-threats-to-critical-infrastructure/" title="Read Apache Spot and Cybersecurity \u2014 Using NetFlows to Detect Threats to Critical Infrastructure">Read more »</a>]]></description>
+ <description><![CDATA[The \u201cfirst\u201d documented cybersecurity case was the worm replication, which was initiated by Robert T. Morris on November 2, 1988. Wow! Here we are in 2016, 28 years later, with viruses and worms giving way to Trojan horses and polymorphic code. Nowadays, we are also fighting against DDoS, phishing, spear phishing attacks, command and controls... <a class="excerpt-read-more" href="http://spot.incubator.apache.org/blog/apache-spot-and-cybersecurity-using-netflows-to-detect-threats-to-critical-infrastructure/" title="Read Apache Spot and Cybersecurity \u2014 Using NetFlows to Detect Threats to Critical Infrastructure">Read more »</a>]]></description>
<content:encoded><![CDATA[<p>The \u201cfirst\u201d documented cybersecurity case was the worm replication, which was initiated by Robert T. Morris on November 2, 1988. Wow! Here we are in 2016, 28 years later, with viruses and worms giving way to Trojan horses and polymorphic code. Nowadays, we are also fighting against DDoS, phishing, spear phishing attacks, command and controls along with APTs such as Aurora, Zeus, Red October and Stuxnet. What happened with our security controls on each attack?</p>
<p>Despite heroic efforts, internal and external security controls, no matter if they are preventive, detective or corrective, can be bypassed by different situations or misconfigurations. Capabilities to detect bugs or vulnerabilities in code, protocol, etc. are still limited. When we consider how to close these gaps, we have two options:</p>
<ol>
@@ -101,25 +101,25 @@
<p>Apache Spot offers a solution. It was designed to gather, store and analyze Big Data. In fact, Apache Spot is an ideal solution for this cybersecurity challenge. Apache Spot can integrate many different data sources in a data lake then add operational context to the data by linking configuration, inventory, service databases and other data stores. This helps you to prioritize the actions to take under different attack, malware, APT and hacking scenarios. With Apache Spot, attacks that bypass our external or internal security controls can be identified. By delivering risk-prioritized, actionable insights, Apache Spot can support the growing need for security analytics.</p>
<p>Not only can Apache Spot collect, store and analyze billions of NetFlow packets, but it can also be adapted to meet the unique requirements of your organization. How? Apache Spot is an open-source project.</p>
<p><strong>But Wait, There\u2019s More</strong></p>
-<p>Check out \u201c<a href="http://spot.incubator.apache.org/how-apache-spot-helps-create-well-stocked-data-lakes-and-catch-powerful-insights/"><u>How Apache Spot Helps Create Well-Stocked Data Lakes and Catch Powerful Insights</u></a>\u201d to learn more about the underlying Apache Spot architecture.</p>
+<p>Check out \u201c<a href="http://spot.incubator.apache.org/blog/how-apache-spot-helps-create-well-stocked-data-lakes-and-catch-powerful-insights/"><u>How Apache Spot Helps Create Well-Stocked Data Lakes and Catch Powerful Insights</u></a>\u201d to learn more about the underlying Apache Spot architecture.</p>
<p>This is the first of a series of blogs that we will be writing about cybersecurity, so check back to read more.</p>
]]></content:encoded>
- <wfw:commentRss>http://spot.incubator.apache.org/apache-spot-and-cybersecurity-using-netflows-to-detect-threats-to-critical-infrastructure/feed/</wfw:commentRss>
+ <wfw:commentRss>http://spot.incubator.apache.org/blog/apache-spot-and-cybersecurity-using-netflows-to-detect-threats-to-critical-infrastructure/feed/</wfw:commentRss>
<slash:comments>0</slash:comments>
</item>
<item>
<title>How Apache Spot Helps Create Well-Stocked Data Lakes and Catch Powerful Insights</title>
- <link>http://spot.incubator.apache.org/how-apache-spot-helps-create-well-stocked-data-lakes-and-catch-powerful-insights/</link>
- <comments>http://spot.incubator.apache.org/how-apache-spot-helps-create-well-stocked-data-lakes-and-catch-powerful-insights/#respond</comments>
+ <link>http://spot.incubator.apache.org/blog/how-apache-spot-helps-create-well-stocked-data-lakes-and-catch-powerful-insights/</link>
+ <comments>http://spot.incubator.apache.org/blog/how-apache-spot-helps-create-well-stocked-data-lakes-and-catch-powerful-insights/#respond</comments>
<pubDate>Mon, 08 Aug 2016 07:59:41 +0000</pubDate>
<dc:creator><![CDATA[oni-admin]]></dc:creator>
<category><![CDATA[Uncategorized]]></category>
<guid isPermaLink="false">http://spot.incubator.apache.org/?p=113</guid>
- <description><![CDATA[About four years ago, the era of the Big Data analytics began. Paired with advanced analytics, massive volumes of data can be culled to not only inform critical decisions, but also to simulate sophisticated \u201cwhat if\u201d scenarios that allow companies to gain competitive advantages by generating and predicting different scenarios. For example, a financial services... <a class="excerpt-read-more" href="http://spot.incubator.apache.org/how-apache-spot-helps-create-well-stocked-data-lakes-and-catch-powerful-insights/" title="Read How Apache Spot Helps Create Well-Stocked Data Lakes and Catch Powerful Insights">Read more »</a>]]></description>
+ <description><![CDATA[About four years ago, the era of the Big Data analytics began. Paired with advanced analytics, massive volumes of data can be culled to not only inform critical decisions, but also to simulate sophisticated \u201cwhat if\u201d scenarios that allow companies to gain competitive advantages by generating and predicting different scenarios. For example, a financial services... <a class="excerpt-read-more" href="http://spot.incubator.apache.org/blog/how-apache-spot-helps-create-well-stocked-data-lakes-and-catch-powerful-insights/" title="Read How Apache Spot Helps Create Well-Stocked Data Lakes and Catch Powerful Insights">Read more »</a>]]></description>
<content:encoded><![CDATA[<p>About four years ago, the era of the Big Data analytics began. Paired with advanced analytics, massive volumes of data can be culled to not only inform critical decisions, but also to simulate sophisticated \u201cwhat if\u201d scenarios that allow companies to gain competitive advantages by generating and predicting different scenarios. For example, a financial services company can more accurately determine what other products to offer a customer, and in what order, based on a wide variety of data, then use advanced analytics to gather insights. Creating a data lake that can be effectively used for predictive analytics raises tough questions \u2014 what data sources should we use? How should this data be collected and ingested? What are the best algorithms to analyze the data, and how should we present these results to our decision maker?</p>
<p>Apache Spot can help to solve most of these issues. Following is a description of the Apache Spot, which is designed to facilitate Big Data analytics scenarios like the financial services company\u2019s question about the right product to offer customers.</p>
-<a href="http://spot.incubator.apache.org/wp-content/uploads/2016/09/ONI_Architecture-Diagram_1300_v4.png"><img src="http://spot.incubator.apache.org/wp-content/uploads/2016/09/ONI_Architecture-Diagram_1300_v4.png" alt="oni_architecture-diagram_1300_v4" width="1300" height="675" class="alignnone size-full wp-image-114" srcset="http://spot.incubator.apache.org/wp-content/uploads/2016/09/ONI_Architecture-Diagram_1300_v4.png 1300w, http://spot.incubator.apache.org/wp-content/uploads/2016/09/ONI_Architecture-Diagram_1300_v4-300x156.png 300w, http://spot.incubator.apache.org/wp-content/uploads/2016/09/ONI_Architecture-Diagram_1300_v4-768x399.png 768w, http://spot.incubator.apache.org/wp-content/uploads/2016/09/ONI_Architecture-Diagram_1300_v4-1024x532.png 1024w" sizes="(max-width: 1300px) 100vw, 1300px" /></a>
+<a href="http://spot.incubator.apache.org/library/images/ONI_Architecture-Diagram_1300_v4.png"><img src="http://spot.incubator.apache.org/library/images/ONI_Architecture-Diagram_1300_v4.png" alt="oni_architecture-diagram_1300_v4" class="alignnone size-full wp-image-114" /></a>
<h3><strong>Apache Spot Core Components</strong></h3>
<p>The Apache Spot Core is composed of three main components \u2014 data integration (collectors), data store (HDFS here, but can also be a non-SQL database) and machine learning.</p>
<p>In this diagram, the top left shows Apache Spot Data Sources, which include the collection of the information that will be used to create a data lake. The process is simple. Define a pull or push from the source of information then capture this information on Apache Spot\u2019s \u201ccollectors.\u201d The collectors are processes that interpret the information that is sent, then write it to the HDFS system in the Apache Spot cluster. The HDFS stores the data lake and ensures that resources can grow while remaining economical at every size. The Apache Spot algorithms are part of machine learning and are used to detect the uncommon information in the data lake.</p>
@@ -130,13 +130,13 @@
<h3><strong>Customizable Open Source</strong></h3>
<p>Because Apache Spot is an open-source project, most of the components depicted here can be modified by the end user.</p>
]]></content:encoded>
- <wfw:commentRss>http://spot.incubator.apache.org/how-apache-spot-helps-create-well-stocked-data-lakes-and-catch-powerful-insights/feed/</wfw:commentRss>
+ <wfw:commentRss>http://spot.incubator.apache.org/blog/how-apache-spot-helps-create-well-stocked-data-lakes-and-catch-powerful-insights/feed/</wfw:commentRss>
<slash:comments>0</slash:comments>
</item>
<item>
<title>Apache Spot (Incubating): Three Most-Asked Questions</title>
- <link>http://spot.incubator.apache.org/apache-spot-3-most-asked-questions/</link>
- <comments>http://spot.incubator.apache.org/apache-spot-3-most-asked-questions/#respond</comments>
+ <link>http://spot.incubator.apache.org/blog/apache-spot-3-most-asked-questions/</link>
+ <comments>http://spot.incubator.apache.org/blog/apache-spot-3-most-asked-questions/#respond</comments>
<pubDate>Tue, 29 Mar 2016 05:48:19 +0000</pubDate>
<dc:creator><![CDATA[oni-admin]]></dc:creator>
<category><![CDATA[Security Analytics]]></category>
@@ -145,12 +145,12 @@
<category><![CDATA[open source]]></category>
<guid isPermaLink="false">http://spot.incubator.apache.org/?p=62</guid>
- <description><![CDATA[While this is not the first blog post about Apache Spot, it is the first one by a creator of the solution. As a security data scientist in Intel’s Data Center Group, I joined a small team to start thinking about solving really hard problems in cloud analytics. The team grew, and out of that... <a class="excerpt-read-more" href="http://spot.incubator.apache.org/apache-spot-3-most-asked-questions/" title="Read Apache Spot: Three Most-Asked Questions">Read more »</a>]]></description>
+ <description><![CDATA[While this is not the first blog post about Apache Spot, it is the first one by a creator of the solution. As a security data scientist in Intel’s Data Center Group, I joined a small team to start thinking about solving really hard problems in cloud analytics. The team grew, and out of that... <a class="excerpt-read-more" href="http://spot.incubator.apache.org/blog/apache-spot-3-most-asked-questions/" title="Read Apache Spot: Three Most-Asked Questions">Read more »</a>]]></description>
<content:encoded><![CDATA[<p>While this is not the first blog post about Apache Spot, it is the first one by a creator of the solution. As a security data scientist in Intel’s Data Center Group, I joined a small team to start thinking about solving really hard problems in cloud analytics. The team grew, and out of that effort, came Apache Spot. Since we started talking about the project, these are the three questions I am asked the most.</p>
<p><strong>What Is Apache Spot?</strong><br />
Apache Spot is an open source, flow and packet analytics solution built on Hadoop. It combines big data processing, at-scale machine learning, and unique security analytics to put potential threats in front of defenders. While I am a data scientist today, I was a security investigator just a few years ago. I wanted to develop a solution that would put new tools and technology in play for defenders, but without requiring them to walk away from security and get a math degree.</p>
<p>We wanted to start with the hard problems, so we looked at the emerging need to analyze data that was produced at a scale outside what a lot of security solutions could handle. The data is being created today, and lack of visibility into that data gives attackers a profound advantage. Also, in this new era of security, many defenders (public and private sector) have to answer to their citizens and customers when these threats occur. In other words, an event that says “this attack was blocked” is insufficient; an organization needs to see what happened before, during, and after a particular machine was attacked at a particular time. The problem is summarized in a slide from a <a href="http://www.youtube.com/watch?v=mOZjMuBLYyM" target="_blank">FloCon talk</a><br />
-<a href="http://spot.incubator.apache.org/wp-content/uploads/2016/03/FloCon2015.png" rel="attachment wp-att-66"><img class="aligncenter size-full wp-image-66" src="http://spot.incubator.apache.org/wp-content/uploads/2016/03/FloCon2015.png" alt="open source packet and flow analytics" width="960" height="720" srcset="http://spot.incubator.apache.org/wp-content/uploads/2016/03/FloCon2015.png 960w, http://spot.incubator.apache.org/wp-content/uploads/2016/03/FloCon2015-300x225.png 300w, http://spot.incubator.apache.org/wp-content/uploads/2016/03/FloCon2015-768x576.png 768w" sizes="(max-width: 960px) 100vw, 960px" /></a></p>
+<a href="http://spot.incubator.apache.org/library/images/FloCon2015.png" rel="attachment wp-att-66"><img class="aligncenter size-full wp-image-66" src="http://spot.incubator.apache.org/library/images/FloCon2015.png" alt="open source packet and flow analytics" /></a></p>
<p>The gist is that while processing is a challenge at higher scales, the amount of insight gained is higher when analyzing flows and packets from key protocols (like DNS). And that’s how we got here.</p>
<p><strong>Why Intel?</strong></p>
<p>At Intel, I have worked in IT, for a security product company (McAfee), and in the Data Center Group. Intel IT was an early pioneer of the concept of proactive investigations to protect intellectual property. McAfee (now Intel Security Group) has a broad customer base in the realms of network, endpoint, and content security, to name only a few. And the Intel Data Center group has strategic partnerships with Cloudera and Accenture, as well as some pretty cool analytics efforts of their own. Add the performance benefits we achieve with Intel Architecture, especially the Intel MPI Library and Intel Math Kernel Library, and it certainly makes sense to me.</p>
@@ -160,7 +160,7 @@ Apache Spot is an open source, flow and packet analytics solution built on Hadoo
<p>Fork us on Github!</p>
<p>Grant Babb</p>
]]></content:encoded>
- <wfw:commentRss>http://spot.incubator.apache.org/apache-spot-3-most-asked-questions/feed/</wfw:commentRss>
+ <wfw:commentRss>http://spot.incubator.apache.org/blog/apache-spot-3-most-asked-questions/feed/</wfw:commentRss>
<slash:comments>0</slash:comments>
</item>
</channel>
http://git-wip-us.apache.org/repos/asf/incubator-spot/blob/675520b7/tag/github/feed/index.html
----------------------------------------------------------------------
diff --git a/tag/github/feed/index.html b/tag/github/feed/index.html
index 71bcefa..e4a9a46 100755
--- a/tag/github/feed/index.html
+++ b/tag/github/feed/index.html
@@ -19,8 +19,8 @@
<item>
<title>Apache Spot (Incubating): Three Most-Asked Questions</title>
- <link>http://spot.incubator.apache.org/apache-spot-3-most-asked-questions/</link>
- <comments>http://spot.incubator.apache.org/apache-spot-3-most-asked-questions/#respond</comments>
+ <link>http://spot.incubator.apache.org/blog/apache-spot-3-most-asked-questions/</link>
+ <comments>http://spot.incubator.apache.org/blog/apache-spot-3-most-asked-questions/#respond</comments>
<pubDate>Tue, 29 Mar 2016 05:48:19 +0000</pubDate>
<dc:creator><![CDATA[oni-admin]]></dc:creator>
<category><![CDATA[Security Analytics]]></category>
@@ -29,12 +29,12 @@
<category><![CDATA[open source]]></category>
<guid isPermaLink="false">http://spot.incubator.apache.org/?p=62</guid>
- <description><![CDATA[While this is not the first blog post about Apache Spot, it is the first one by a creator of the solution. As a security data scientist in Intel’s Data Center Group, I joined a small team to start thinking about solving really hard problems in cloud analytics. The team grew, and out of that... <a class="excerpt-read-more" href="http://spot.incubator.apache.org/apache-spot-3-most-asked-questions/" title="Read Apache Spot: Three Most-Asked Questions">Read more »</a>]]></description>
+ <description><![CDATA[While this is not the first blog post about Apache Spot, it is the first one by a creator of the solution. As a security data scientist in Intel’s Data Center Group, I joined a small team to start thinking about solving really hard problems in cloud analytics. The team grew, and out of that... <a class="excerpt-read-more" href="http://spot.incubator.apache.org/blog/apache-spot-3-most-asked-questions/" title="Read Apache Spot: Three Most-Asked Questions">Read more »</a>]]></description>
<content:encoded><![CDATA[<p>While this is not the first blog post about Apache Spot, it is the first one by a creator of the solution. As a security data scientist in Intel’s Data Center Group, I joined a small team to start thinking about solving really hard problems in cloud analytics. The team grew, and out of that effort, came Apache Spot. Since we started talking about the project, these are the three questions I am asked the most.</p>
<p><strong>What Is Apache Spot?</strong><br />
Apache Spot is an open source, flow and packet analytics solution built on Hadoop. It combines big data processing, at-scale machine learning, and unique security analytics to put potential threats in front of defenders. While I am a data scientist today, I was a security investigator just a few years ago. I wanted to develop a solution that would put new tools and technology in play for defenders, but without requiring them to walk away from security and get a math degree.</p>
<p>We wanted to start with the hard problems, so we looked at the emerging need to analyze data that was produced at a scale outside what a lot of security solutions could handle. The data is being created today, and lack of visibility into that data gives attackers a profound advantage. Also, in this new era of security, many defenders (public and private sector) have to answer to their citizens and customers when these threats occur. In other words, an event that says “this attack was blocked” is insufficient; an organization needs to see what happened before, during, and after a particular machine was attacked at a particular time. The problem is summarized in a slide from a <a href="http://www.youtube.com/watch?v=mOZjMuBLYyM" target="_blank">FloCon talk</a><br />
-<a href="http://spot.incubator.apache.org/wp-content/uploads/2016/03/FloCon2015.png" rel="attachment wp-att-66"><img class="aligncenter size-full wp-image-66" src="http://spot.incubator.apache.org/wp-content/uploads/2016/03/FloCon2015.png" alt="open source packet and flow analytics" width="960" height="720" srcset="http://spot.incubator.apache.org/wp-content/uploads/2016/03/FloCon2015.png 960w, http://spot.incubator.apache.org/wp-content/uploads/2016/03/FloCon2015-300x225.png 300w, http://spot.incubator.apache.org/wp-content/uploads/2016/03/FloCon2015-768x576.png 768w" sizes="(max-width: 960px) 100vw, 960px" /></a></p>
+<a href="http://spot.incubator.apache.org/library/images/FloCon2015.png" rel="attachment wp-att-66"><img class="aligncenter size-full wp-image-66" src="http://spot.incubator.apache.org/library/images/FloCon2015.png" alt="open source packet and flow analytics" /></a></p>
<p>The gist is that while processing is a challenge at higher scales, the amount of insight gained is higher when analyzing flows and packets from key protocols (like DNS). And that’s how we got here.</p>
<p><strong>Why Intel?</strong></p>
<p>At Intel, I have worked in IT, for a security product company (McAfee), and in the Data Center Group. Intel IT was an early pioneer of the concept of proactive investigations to protect intellectual property. McAfee (now Intel Security Group) has a broad customer base in the realms of network, endpoint, and content security, to name only a few. And the Intel Data Center group has strategic partnerships with Cloudera and Accenture, as well as some pretty cool analytics efforts of their own. Add the performance benefits we achieve with Intel Architecture, especially the Intel MPI Library and Intel Math Kernel Library, and it certainly makes sense to me.</p>
@@ -44,7 +44,7 @@ Apache Spot is an open source, flow and packet analytics solution built on Hadoo
<p>Fork us on Github!</p>
<p>Grant Babb</p>
]]></content:encoded>
- <wfw:commentRss>http://spot.incubator.apache.org/apache-spot-3-most-asked-questions/feed/</wfw:commentRss>
+ <wfw:commentRss>http://spot.incubator.apache.org/blog/apache-spot-3-most-asked-questions/feed/</wfw:commentRss>
<slash:comments>0</slash:comments>
</item>
</channel>
[4/4] incubator-spot git commit: Jan 2017 Project website updates and
new documentation section
Posted by ce...@apache.org.
Jan 2017 Project website updates and new documentation section
Project: http://git-wip-us.apache.org/repos/asf/incubator-spot/repo
Commit: http://git-wip-us.apache.org/repos/asf/incubator-spot/commit/675520b7
Tree: http://git-wip-us.apache.org/repos/asf/incubator-spot/tree/675520b7
Diff: http://git-wip-us.apache.org/repos/asf/incubator-spot/diff/675520b7
Branch: refs/heads/asf-site
Commit: 675520b70f532561ab8831321bf29f18da5ee92e
Parents: bb79a11
Author: Cesar <ce...@apache.org>
Authored: Tue Jan 17 18:25:02 2017 -0600
Committer: Cesar <ce...@apache.org>
Committed: Tue Jan 17 18:25:02 2017 -0600
----------------------------------------------------------------------
2016/03/index.html | 273 ---------------
2016/08/index.html | 301 ----------------
2016/09/index.html | 264 --------------
2016/10/index.html | 270 --------------
blog/index.html | 367 --------------------
category/cybersecurity/feed/index.html | 10 +-
category/cybersecurity/index.html | 275 ---------------
category/data-science/feed/index.html | 10 +-
category/data-science/index.html | 264 --------------
category/ipython-notebooks/feed/index.html | 10 +-
category/ipython-notebooks/index.html | 264 --------------
category/security-analytics/feed/index.html | 10 +-
category/security-analytics/index.html | 274 ---------------
category/threat-analysis-tools/feed/index.html | 10 +-
category/threat-analysis-tools/index.html | 264 --------------
category/uncategorized/feed/index.html | 20 +-
category/uncategorized/index.html | 302 ----------------
favicon.ico | Bin
feed/index.html | 48 +--
tag/github/feed/index.html | 10 +-
tag/github/index.html | 274 ---------------
tag/open-network-insight/feed/index.html | 10 +-
tag/open-network-insight/index.html | 274 ---------------
tag/open-source/feed/index.html | 10 +-
tag/open-source/index.html | 274 ---------------
25 files changed, 74 insertions(+), 4014 deletions(-)
----------------------------------------------------------------------
http://git-wip-us.apache.org/repos/asf/incubator-spot/blob/675520b7/2016/03/index.html
----------------------------------------------------------------------
diff --git a/2016/03/index.html b/2016/03/index.html
deleted file mode 100755
index bcc75f7..0000000
--- a/2016/03/index.html
+++ /dev/null
@@ -1,273 +0,0 @@
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-<html lang="en-US" class="no-js">
- <!--<![endif]-->
-
- <head>
- <meta charset="utf-8">
-
- <meta http-equiv="X-UA-Compatible" content="IE=edge">
-
- <title>Apache Spot 2016 March</title>
-
- <meta name="HandheldFriendly" content="True">
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- </li>
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- <a href="../how-apache-spot-helps-create-well-stocked-data-lakes-and-catch-powerful-insights/">How Apache Spot (Incubating) Helps Create Well-Stocked Data Lakes and Catch Powerful Insights</a>
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http://git-wip-us.apache.org/repos/asf/incubator-spot/blob/675520b7/2016/08/index.html
----------------------------------------------------------------------
diff --git a/2016/08/index.html b/2016/08/index.html
deleted file mode 100755
index 4c7aef7..0000000
--- a/2016/08/index.html
+++ /dev/null
@@ -1,301 +0,0 @@
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- </header>
-
- <section class="entry-content cf">
- <div class="m-all t-1of4 d-2of7"></div>
- <div class="m-all t-3of4 d-5of7">
- <p>
- While this is not the first blog post about Apache Spot, it is the first one by a creator of the solution. As a security data scientist in Intel’s Data Center Group, I joined a small team to start thinking about solving really hard problems in cloud analytics. The team grew, and out of that… <a class="excerpt-read-more" href="../apache-spot-3-most-asked-questions/" title="Read Apache Spot: Three Most-Asked Questions">Read more »</a>
- </p>
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- </section>
-
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- <a href="../strength-in-numbers-why-consider-open-source-cybersecurity-analytics/">Strength in Numbers: Why Consider Open Source Cybersecurity Analytics</a>
- </li>
- <li>
- <a href="../jupyter-notebooks-for-data-analysis/">Jupyter Notebooks for Data Analysis</a>
- </li>
- <li>
- <a href="../apache-spot-and-cybersecurity-using-netflows-to-detect-threats-to-critical-infrastructure/">Apache Spot (Incubating) and Cybersecurity \u2014 Using NetFlows to Detect Threats to Critical Infrastructure</a>
- </li>
- <li>
- <a href="../how-apache-spot-helps-create-well-stocked-data-lakes-and-catch-powerful-insights/">How Apache Spot (Incubating) Helps Create Well-Stocked Data Lakes and Catch Powerful Insights</a>
- </li>
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[3/4] incubator-spot git commit: Jan 2017 Project website updates and
new documentation section
Posted by ce...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-spot/blob/675520b7/category/cybersecurity/feed/index.html
----------------------------------------------------------------------
diff --git a/category/cybersecurity/feed/index.html b/category/cybersecurity/feed/index.html
index fac6f3a..fd8364a 100755
--- a/category/cybersecurity/feed/index.html
+++ b/category/cybersecurity/feed/index.html
@@ -19,14 +19,14 @@
<item>
<title>Apache Spot and Cybersecurity \u2014 Using NetFlows to Detect Threats to Critical Infrastructure</title>
- <link>http://spot.incubator.apache.org/apache-spot-and-cybersecurity-using-netflows-to-detect-threats-to-critical-infrastructure/</link>
- <comments>http://spot.incubator.apache.org/apache-spot-and-cybersecurity-using-netflows-to-detect-threats-to-critical-infrastructure/#respond</comments>
+ <link>http://spot.incubator.apache.org/blog/apache-spot-and-cybersecurity-using-netflows-to-detect-threats-to-critical-infrastructure/</link>
+ <comments>http://spot.incubator.apache.org/blog/apache-spot-and-cybersecurity-using-netflows-to-detect-threats-to-critical-infrastructure/#respond</comments>
<pubDate>Mon, 08 Aug 2016 08:00:32 +0000</pubDate>
<dc:creator><![CDATA[oni-admin]]></dc:creator>
<category><![CDATA[Cybersecurity]]></category>
<guid isPermaLink="false">http://spot.incubator.apache.org/?p=117</guid>
- <description><![CDATA[The \u201cfirst\u201d documented cybersecurity case was the worm replication, which was initiated by Robert T. Morris on November 2, 1988. Wow! Here we are in 2016, 28 years later, with viruses and worms giving way to Trojan horses and polymorphic code. Nowadays, we are also fighting against DDoS, phishing, spear phishing attacks, command and controls... <a class="excerpt-read-more" href="http://spot.incubator.apache.org/apache-spot-and-cybersecurity-using-netflows-to-detect-threats-to-critical-infrastructure/" title="Read Apache Spot and Cybersecurity \u2014 Using NetFlows to Detect Threats to Critical Infrastructure">Read more »</a>]]></description>
+ <description><![CDATA[The \u201cfirst\u201d documented cybersecurity case was the worm replication, which was initiated by Robert T. Morris on November 2, 1988. Wow! Here we are in 2016, 28 years later, with viruses and worms giving way to Trojan horses and polymorphic code. Nowadays, we are also fighting against DDoS, phishing, spear phishing attacks, command and controls... <a class="excerpt-read-more" href="http://spot.incubator.apache.org/blog/apache-spot-and-cybersecurity-using-netflows-to-detect-threats-to-critical-infrastructure/" title="Read Apache Spot and Cybersecurity \u2014 Using NetFlows to Detect Threats to Critical Infrastructure">Read more »</a>]]></description>
<content:encoded><![CDATA[<p>The \u201cfirst\u201d documented cybersecurity case was the worm replication, which was initiated by Robert T. Morris on November 2, 1988. Wow! Here we are in 2016, 28 years later, with viruses and worms giving way to Trojan horses and polymorphic code. Nowadays, we are also fighting against DDoS, phishing, spear phishing attacks, command and controls along with APTs such as Aurora, Zeus, Red October and Stuxnet. What happened with our security controls on each attack?</p>
<p>Despite heroic efforts, internal and external security controls, no matter if they are preventive, detective or corrective, can be bypassed by different situations or misconfigurations. Capabilities to detect bugs or vulnerabilities in code, protocol, etc. are still limited. When we consider how to close these gaps, we have two options:</p>
<ol>
@@ -41,10 +41,10 @@
<p>Apache Spot offers a solution. It was designed to gather, store and analyze Big Data. In fact, Apache Spot is an ideal solution for this cybersecurity challenge. Apache Spot can integrate many different data sources in a data lake then add operational context to the data by linking configuration, inventory, service databases and other data stores. This helps you to prioritize the actions to take under different attack, malware, APT and hacking scenarios. With Apache Spot, attacks that bypass our external or internal security controls can be identified. By delivering risk-prioritized, actionable insights, Apache Spot can support the growing need for security analytics.</p>
<p>Not only can Apache Spot collect, store and analyze billions of NetFlow packets, but it can also be adapted to meet the unique requirements of your organization. How? Apache Spot is an open-source project.</p>
<p><strong>But Wait, There\u2019s More</strong></p>
-<p>Check out \u201c<a href="http://spot.incubator.apache.org/how-apache-spot-helps-create-well-stocked-data-lakes-and-catch-powerful-insights/"><u>How Apache Spot Helps Create Well-Stocked Data Lakes and Catch Powerful Insights</u></a>\u201d to learn more about the underlying Apache Spot architecture.</p>
+<p>Check out \u201c<a href="http://spot.incubator.apache.org/blog/how-apache-spot-helps-create-well-stocked-data-lakes-and-catch-powerful-insights/"><u>How Apache Spot Helps Create Well-Stocked Data Lakes and Catch Powerful Insights</u></a>\u201d to learn more about the underlying Apache Spot architecture.</p>
<p>This is the first of a series of blogs that we will be writing about cybersecurity, so check back to read more.</p>
]]></content:encoded>
- <wfw:commentRss>http://spot.incubator.apache.org/apache-spot-and-cybersecurity-using-netflows-to-detect-threats-to-critical-infrastructure/feed/</wfw:commentRss>
+ <wfw:commentRss>http://spot.incubator.apache.org/blog/apache-spot-and-cybersecurity-using-netflows-to-detect-threats-to-critical-infrastructure/feed/</wfw:commentRss>
<slash:comments>0</slash:comments>
</item>
</channel>
http://git-wip-us.apache.org/repos/asf/incubator-spot/blob/675520b7/category/cybersecurity/index.html
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diff --git a/category/cybersecurity/index.html b/category/cybersecurity/index.html
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+++ /dev/null
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-
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-
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-
- <h3 class="h2 entry-title"><a href="../../apache-spot-and-cybersecurity-using-netflows-to-detect-threats-to-critical-infrastructure/" rel="bookmark" title="Apache Spot and Cybersecurity \u2014 Using NetFlows to Detect Threats to Critical Infrastructure">Apache Spot (Incubating) and Cybersecurity \u2014 Using NetFlows to Detect Threats to Critical Infrastructure</a></h3>
- <p class="byline entry-meta vcard">
- <time class="updated entry-time" datetime="2016-08-08" itemprop="datePublished">
- August 8, 2016
- </time>
- </span>
- </p>
-
- </header>
-
- <section class="entry-content cf">
-
- <p>
- The \u201cfirst\u201d documented cybersecurity case was the worm replication, which was initiated by Robert T. Morris on November 2, 1988. Wow! Here we are in 2016, 28 years later, with viruses and worms giving way to Trojan horses and polymorphic code. Nowadays, we are also fighting against DDoS, phishing, spear phishing attacks, command and controls… <a class="excerpt-read-more" href="../../apache-spot-and-cybersecurity-using-netflows-to-detect-threats-to-critical-infrastructure/" title="Read Apache Spot and Cybersecurity \u2014 Using NetFlows to Detect Threats to Critical Infrastructure">Read more »</a>
- </p>
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- <h4 class="widgettitle">Recent Posts</h4>
- <ul>
- <li>
- <a href="../../strength-in-numbers-why-consider-open-source-cybersecurity-analytics/">Strength in Numbers: Why Consider Open Source Cybersecurity Analytics</a>
- </li>
- <li>
- <a href="../../jupyter-notebooks-for-data-analysis/">Jupyter Notebooks for Data Analysis</a>
- </li>
- <li>
- <a href="../../apache-spot-and-cybersecurity-using-netflows-to-detect-threats-to-critical-infrastructure/">Apache Spot (Incubating) and Cybersecurity \u2014 Using NetFlows to Detect Threats to Critical Infrastructure</a>
- </li>
- <li>
- <a href="../../how-apache-spot-helps-create-well-stocked-data-lakes-and-catch-powerful-insights/">How Apache Spot (Incubating) Helps Create Well-Stocked Data Lakes and Catch Powerful Insights</a>
- </li>
- <li>
- <a href="../../apache-spot-3-most-asked-questions/">Apache Spot (Incubating): 3 Most-Asked Questions</a>
- </li>
- </ul>
- </div>
- <div id="archives-2" class="widget widget_archive">
- <h4 class="widgettitle">Archives</h4>
- <ul>
- <li>
- <a href='../../2016/10/'>October 2016</a>
- </li>
- <li>
- <a href='../../2016/09/'>September 2016</a>
- </li>
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- <a href='../../2016/08/'>August 2016</a>
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http://git-wip-us.apache.org/repos/asf/incubator-spot/blob/675520b7/category/data-science/feed/index.html
----------------------------------------------------------------------
diff --git a/category/data-science/feed/index.html b/category/data-science/feed/index.html
index e2c33f6..15e5cd9 100755
--- a/category/data-science/feed/index.html
+++ b/category/data-science/feed/index.html
@@ -19,8 +19,8 @@
<item>
<title>Jupyter Notebooks for Data Analysis</title>
- <link>http://spot.incubator.apache.org/jupyter-notebooks-for-data-analysis/</link>
- <comments>http://spot.incubator.apache.org/jupyter-notebooks-for-data-analysis/#respond</comments>
+ <link>http://spot.incubator.apache.org/blog/jupyter-notebooks-for-data-analysis/</link>
+ <comments>http://spot.incubator.apache.org/blog/jupyter-notebooks-for-data-analysis/#respond</comments>
<pubDate>Thu, 22 Sep 2016 21:28:12 +0000</pubDate>
<dc:creator><![CDATA[oni-admin]]></dc:creator>
<category><![CDATA[Data Science]]></category>
@@ -28,12 +28,12 @@
<category><![CDATA[Threat Analysis Tools]]></category>
<guid isPermaLink="false">http://spot.incubator.apache.org/?p=136</guid>
- <description><![CDATA[Why Does Apache Spot Include iPython notebooks? The project team wants Apache Spot to be a versatile tool that can be used by anyone. This means that data scientists and developers need to be able to query and handle the source data to find all the information they need for their decision making. The iPython... <a class="excerpt-read-more" href="http://spot.incubator.apache.org/jupyter-notebooks-for-data-analysis/" title="Read Jupyter Notebooks for Data Analysis">Read more »</a>]]></description>
+ <description><![CDATA[Why Does Apache Spot Include iPython notebooks? The project team wants Apache Spot to be a versatile tool that can be used by anyone. This means that data scientists and developers need to be able to query and handle the source data to find all the information they need for their decision making. The iPython... <a class="excerpt-read-more" href="http://spot.incubator.apache.org/blog/jupyter-notebooks-for-data-analysis/" title="Read Jupyter Notebooks for Data Analysis">Read more »</a>]]></description>
<content:encoded><![CDATA[<p><strong>Why Does Apache Spot Include iPython notebooks? </strong></p>
<p>The project team wants Apache Spot to be a versatile tool that can be used by anyone. This means that data scientists and developers need to be able to query and handle the source data to find all the information they need for their decision making. The iPython Notebook is an appropriate platform for easy data exploration. One of its biggest advantages is that it provides parallel and distributed computing to enable code execution and debugging in an interactive environment \u2013 thus the \u2018i\u2019 in iPython.</p>
<p>The iPython notebook is a web based interactive computational environment that provides access to the Python shell. While iPython notebooks were originally designed to work with the Python language, they support a number of other programming languages, including Ruby, Scala, Julia, R, Go, C, C++, Java and Perl. There are also multiple additional packages that can be used to get the most out of this highly-customizable tool.</p>
<p>Starting on version 4.0, most notebook functionalities are now part of the Project Jupyter, while iPython remains as the kernel to work with Python code in the notebooks.</p>
-<img src="http://spot.incubator.apache.org/wp-content/uploads/2016/10/iPython-1.png" alt="ipython" width="361" height="107" class="aligncenter size-full wp-image-140" srcset="http://spot.incubator.apache.org/wp-content/uploads/2016/10/iPython-1.png 361w, http://spot.incubator.apache.org/wp-content/uploads/2016/10/iPython-1-300x89.png 300w" sizes="(max-width: 361px) 100vw, 361px" />
+<img src="http://spot.incubator.apache.org/library/images/iPython-1.png" alt="ipython" width="361" height="107" class="aligncenter size-full wp-image-140" />
<p><strong>IPython with Apache Spot for Network Threat Detection</strong></p>
<p><em>NOTE:� This is not intended to be a step-by-step tutorial on how to code a threat analysis in Apache Spot, but more like an introduction on how to approach the suspicions of a security breach.</em></p>
<p>Although machine learning (ML) will do most of the work detecting anomalies in the traffic, Apache Spot also includes two notebook templates that can get you started on this. The <em>Threat_Investigation_master.ipynb</em> is designed to query the raw data table to find all connections in a day that are related to any threat you select \u2013 even connections that were not necessarily flagged as suspicious by ML on a first run. This gives us the chance to get a new data subset and here is where the fun begins.</p>
@@ -55,7 +55,7 @@
<p>This post was meant to be just a brief introduction of how you can use iPython notebooks in Apache Spot to perform further data analysis and include it our executive report (in addition to the already included Story board). Although this is not the only way you can do this, it is a very interactive and fun way to do it. You\u2019ll also see that the overall processing time is very short \u2013 thanks to the iPython notebook task parallelism ability.</p>
<p>We want to hear from YOU! Have you used iPython notebooks before? How do you feel about having this tool in Apache Spot? If you\u2019re interested in further data analysis through interactive charts, a new post is coming soon on D3 and jQuery data visualization. Also, check back soon to read more on this and other Cybersecurity subjects.</p>
]]></content:encoded>
- <wfw:commentRss>http://spot.incubator.apache.org/jupyter-notebooks-for-data-analysis/feed/</wfw:commentRss>
+ <wfw:commentRss>http://spot.incubator.apache.org/blog/jupyter-notebooks-for-data-analysis/feed/</wfw:commentRss>
<slash:comments>0</slash:comments>
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http://git-wip-us.apache.org/repos/asf/incubator-spot/blob/675520b7/category/data-science/index.html
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diff --git a/category/data-science/index.html b/category/data-science/index.html
deleted file mode 100755
index 879d3ef..0000000
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+++ /dev/null
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- Why Does Apache Spot Include iPython notebooks? The project team wants Apache Spot to be a versatile tool that can be used by anyone. This means that data scientists and developers need to be able to query and handle the source data to find all the information they need for their decision making. The iPython… <a class="excerpt-read-more" href="../../jupyter-notebooks-for-data-analysis/" title="Read Jupyter Notebooks for Data Analysis">Read more »</a>
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http://git-wip-us.apache.org/repos/asf/incubator-spot/blob/675520b7/category/ipython-notebooks/feed/index.html
----------------------------------------------------------------------
diff --git a/category/ipython-notebooks/feed/index.html b/category/ipython-notebooks/feed/index.html
index 1935eed..6af5e8e 100755
--- a/category/ipython-notebooks/feed/index.html
+++ b/category/ipython-notebooks/feed/index.html
@@ -19,8 +19,8 @@
<item>
<title>Jupyter Notebooks for Data Analysis</title>
- <link>http://spot.incubator.apache.org/jupyter-notebooks-for-data-analysis/</link>
- <comments>http://spot.incubator.apache.org/jupyter-notebooks-for-data-analysis/#respond</comments>
+ <link>http://spot.incubator.apache.org/blog/jupyter-notebooks-for-data-analysis/</link>
+ <comments>http://spot.incubator.apache.org/blog/jupyter-notebooks-for-data-analysis/#respond</comments>
<pubDate>Thu, 22 Sep 2016 21:28:12 +0000</pubDate>
<dc:creator><![CDATA[oni-admin]]></dc:creator>
<category><![CDATA[Data Science]]></category>
@@ -28,12 +28,12 @@
<category><![CDATA[Threat Analysis Tools]]></category>
<guid isPermaLink="false">http://spot.incubator.apache.org/?p=136</guid>
- <description><![CDATA[Why Does Apache Spot Include iPython notebooks? The project team wants Apache Spot to be a versatile tool that can be used by anyone. This means that data scientists and developers need to be able to query and handle the source data to find all the information they need for their decision making. The iPython... <a class="excerpt-read-more" href="http://spot.incubator.apache.org/jupyter-notebooks-for-data-analysis/" title="Read Jupyter Notebooks for Data Analysis">Read more »</a>]]></description>
+ <description><![CDATA[Why Does Apache Spot Include iPython notebooks? The project team wants Apache Spot to be a versatile tool that can be used by anyone. This means that data scientists and developers need to be able to query and handle the source data to find all the information they need for their decision making. The iPython... <a class="excerpt-read-more" href="http://spot.incubator.apache.org/blog/jupyter-notebooks-for-data-analysis/" title="Read Jupyter Notebooks for Data Analysis">Read more »</a>]]></description>
<content:encoded><![CDATA[<p><strong>Why Does Apache Spot Include iPython notebooks? </strong></p>
<p>The project team wants Apache Spot to be a versatile tool that can be used by anyone. This means that data scientists and developers need to be able to query and handle the source data to find all the information they need for their decision making. The iPython Notebook is an appropriate platform for easy data exploration. One of its biggest advantages is that it provides parallel and distributed computing to enable code execution and debugging in an interactive environment \u2013 thus the \u2018i\u2019 in iPython.</p>
<p>The iPython notebook is a web based interactive computational environment that provides access to the Python shell. While iPython notebooks were originally designed to work with the Python language, they support a number of other programming languages, including Ruby, Scala, Julia, R, Go, C, C++, Java and Perl. There are also multiple additional packages that can be used to get the most out of this highly-customizable tool.</p>
<p>Starting on version 4.0, most notebook functionalities are now part of the Project Jupyter, while iPython remains as the kernel to work with Python code in the notebooks.</p>
-<img src="http://spot.incubator.apache.org/wp-content/uploads/2016/10/iPython-1.png" alt="ipython" width="361" height="107" class="aligncenter size-full wp-image-140" srcset="http://spot.incubator.apache.org/wp-content/uploads/2016/10/iPython-1.png 361w, http://spot.incubator.apache.org/wp-content/uploads/2016/10/iPython-1-300x89.png 300w" sizes="(max-width: 361px) 100vw, 361px" />
+<img src="http://spot.incubator.apache.org/library/images/iPython-1.png" alt="ipython" width="361" height="107" class="aligncenter size-full wp-image-140" />
<p><strong>IPython with Apache Spot for Network Threat Detection</strong></p>
<p><em>NOTE:� This is not intended to be a step-by-step tutorial on how to code a threat analysis in Apache Spot, but more like an introduction on how to approach the suspicions of a security breach.</em></p>
<p>Although machine learning (ML) will do most of the work detecting anomalies in the traffic, Apache Spot also includes two notebook templates that can get you started on this. The <em>Threat_Investigation_master.ipynb</em> is designed to query the raw data table to find all connections in a day that are related to any threat you select \u2013 even connections that were not necessarily flagged as suspicious by ML on a first run. This gives us the chance to get a new data subset and here is where the fun begins.</p>
@@ -55,7 +55,7 @@
<p>This post was meant to be just a brief introduction of how you can use iPython notebooks in Apache Spot to perform further data analysis and include it our executive report (in addition to the already included Story board). Although this is not the only way you can do this, it is a very interactive and fun way to do it. You\u2019ll also see that the overall processing time is very short \u2013 thanks to the iPython notebook task parallelism ability.</p>
<p>We want to hear from YOU! Have you used iPython notebooks before? How do you feel about having this tool in Apache Spot? If you\u2019re interested in further data analysis through interactive charts, a new post is coming soon on D3 and jQuery data visualization. Also, check back soon to read more on this and other Cybersecurity subjects.</p>
]]></content:encoded>
- <wfw:commentRss>http://spot.incubator.apache.org/jupyter-notebooks-for-data-analysis/feed/</wfw:commentRss>
+ <wfw:commentRss>http://spot.incubator.apache.org/blog/jupyter-notebooks-for-data-analysis/feed/</wfw:commentRss>
<slash:comments>0</slash:comments>
</item>
</channel>
http://git-wip-us.apache.org/repos/asf/incubator-spot/blob/675520b7/category/ipython-notebooks/index.html
----------------------------------------------------------------------
diff --git a/category/ipython-notebooks/index.html b/category/ipython-notebooks/index.html
deleted file mode 100755
index e5e1bff..0000000
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http://git-wip-us.apache.org/repos/asf/incubator-spot/blob/675520b7/category/security-analytics/feed/index.html
----------------------------------------------------------------------
diff --git a/category/security-analytics/feed/index.html b/category/security-analytics/feed/index.html
index c3706f5..27c1ee2 100755
--- a/category/security-analytics/feed/index.html
+++ b/category/security-analytics/feed/index.html
@@ -19,8 +19,8 @@
<item>
<title>Apache Spot: Three Most-Asked Questions</title>
- <link>http://spot.incubator.apache.org/apache-spot-3-most-asked-questions/</link>
- <comments>http://spot.incubator.apache.org/apache-spot-3-most-asked-questions/#respond</comments>
+ <link>http://spot.incubator.apache.org/blog/apache-spot-3-most-asked-questions/</link>
+ <comments>http://spot.incubator.apache.org/blog/apache-spot-3-most-asked-questions/#respond</comments>
<pubDate>Tue, 29 Mar 2016 05:48:19 +0000</pubDate>
<dc:creator><![CDATA[oni-admin]]></dc:creator>
<category><![CDATA[Security Analytics]]></category>
@@ -29,12 +29,12 @@
<category><![CDATA[open source]]></category>
<guid isPermaLink="false">http://spot.incubator.apache.org/?p=62</guid>
- <description><![CDATA[While this is not the first blog post about Apache Spot, it is the first one by a creator of the solution. As a security data scientist in Intel’s Data Center Group, I joined a small team to start thinking about solving really hard problems in cloud analytics. The team grew, and out of that... <a class="excerpt-read-more" href="http://spot.incubator.apache.org/apache-spot-3-most-asked-questions/" title="Read Apache Spot: Three Most-Asked Questions">Read more »</a>]]></description>
+ <description><![CDATA[While this is not the first blog post about Apache Spot, it is the first one by a creator of the solution. As a security data scientist in Intel’s Data Center Group, I joined a small team to start thinking about solving really hard problems in cloud analytics. The team grew, and out of that... <a class="excerpt-read-more" href="http://spot.incubator.apache.org/blog/apache-spot-3-most-asked-questions/" title="Read Apache Spot: Three Most-Asked Questions">Read more »</a>]]></description>
<content:encoded><![CDATA[<p>While this is not the first blog post about Apache Spot, it is the first one by a creator of the solution. As a security data scientist in Intel’s Data Center Group, I joined a small team to start thinking about solving really hard problems in cloud analytics. The team grew, and out of that effort, came Apache Spot. Since we started talking about the project, these are the three questions I am asked the most.</p>
<p><strong>What Is Apache Spot?</strong><br />
Apache Spot is an open source, flow and packet analytics solution built on Hadoop. It combines big data processing, at-scale machine learning, and unique security analytics to put potential threats in front of defenders. While I am a data scientist today, I was a security investigator just a few years ago. I wanted to develop a solution that would put new tools and technology in play for defenders, but without requiring them to walk away from security and get a math degree.</p>
<p>We wanted to start with the hard problems, so we looked at the emerging need to analyze data that was produced at a scale outside what a lot of security solutions could handle. The data is being created today, and lack of visibility into that data gives attackers a profound advantage. Also, in this new era of security, many defenders (public and private sector) have to answer to their citizens and customers when these threats occur. In other words, an event that says “this attack was blocked” is insufficient; an organization needs to see what happened before, during, and after a particular machine was attacked at a particular time. The problem is summarized in a slide from a <a href="http://www.youtube.com/watch?v=mOZjMuBLYyM" target="_blank">FloCon talk</a><br />
-<a href="http://spot.incubator.apache.org/wp-content/uploads/2016/03/FloCon2015.png" rel="attachment wp-att-66"><img class="aligncenter size-full wp-image-66" src="http://spot.incubator.apache.org/wp-content/uploads/2016/03/FloCon2015.png" alt="open source packet and flow analytics" width="960" height="720" srcset="http://spot.incubator.apache.org/wp-content/uploads/2016/03/FloCon2015.png 960w, http://spot.incubator.apache.org/wp-content/uploads/2016/03/FloCon2015-300x225.png 300w, http://spot.incubator.apache.org/wp-content/uploads/2016/03/FloCon2015-768x576.png 768w" sizes="(max-width: 960px) 100vw, 960px" /></a></p>
+<a href="http://spot.incubator.apache.org/library/images/FloCon2015.png" rel="attachment wp-att-66"><img class="aligncenter size-full wp-image-66" src="http://spot.incubator.apache.org/library/images/FloCon2015.png" alt="open source packet and flow analytics" /></a></p>
<p>The gist is that while processing is a challenge at higher scales, the amount of insight gained is higher when analyzing flows and packets from key protocols (like DNS). And that’s how we got here.</p>
<p><strong>Why Intel?</strong></p>
<p>At Intel, I have worked in IT, for a security product company (McAfee), and in the Data Center Group. Intel IT was an early pioneer of the concept of proactive investigations to protect intellectual property. McAfee (now Intel Security Group) has a broad customer base in the realms of network, endpoint, and content security, to name only a few. And the Intel Data Center group has strategic partnerships with Cloudera and Accenture, as well as some pretty cool analytics efforts of their own. Add the performance benefits we achieve with Intel Architecture, especially the Intel MPI Library and Intel Math Kernel Library, and it certainly makes sense to me.</p>
@@ -44,7 +44,7 @@ Apache Spot is an open source, flow and packet analytics solution built on Hadoo
<p>Fork us on Github!</p>
<p>Grant Babb</p>
]]></content:encoded>
- <wfw:commentRss>http://spot.incubator.apache.org/apache-spot-3-most-asked-questions/feed/</wfw:commentRss>
+ <wfw:commentRss>http://spot.incubator.apache.org/blog/apache-spot-3-most-asked-questions/feed/</wfw:commentRss>
<slash:comments>0</slash:comments>
</item>
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http://git-wip-us.apache.org/repos/asf/incubator-spot/blob/675520b7/category/security-analytics/index.html
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http://git-wip-us.apache.org/repos/asf/incubator-spot/blob/675520b7/category/threat-analysis-tools/feed/index.html
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<item>
<title>Jupyter Notebooks for Data Analysis</title>
- <link>http://spot.incubator.apache.org/jupyter-notebooks-for-data-analysis/</link>
- <comments>http://spot.incubator.apache.org/jupyter-notebooks-for-data-analysis/#respond</comments>
+ <link>http://spot.incubator.apache.org/blog/jupyter-notebooks-for-data-analysis/</link>
+ <comments>http://spot.incubator.apache.org/blog/jupyter-notebooks-for-data-analysis/#respond</comments>
<pubDate>Thu, 22 Sep 2016 21:28:12 +0000</pubDate>
<dc:creator><![CDATA[oni-admin]]></dc:creator>
<category><![CDATA[Data Science]]></category>
@@ -28,12 +28,12 @@
<category><![CDATA[Threat Analysis Tools]]></category>
<guid isPermaLink="false">http://spot.incubator.apache.org/?p=136</guid>
- <description><![CDATA[Why Does Apache Spot Include iPython notebooks? The project team wants Apache Spot to be a versatile tool that can be used by anyone. This means that data scientists and developers need to be able to query and handle the source data to find all the information they need for their decision making. The iPython... <a class="excerpt-read-more" href="http://spot.incubator.apache.org/jupyter-notebooks-for-data-analysis/" title="Read Jupyter Notebooks for Data Analysis">Read more »</a>]]></description>
+ <description><![CDATA[Why Does Apache Spot Include iPython notebooks? The project team wants Apache Spot to be a versatile tool that can be used by anyone. This means that data scientists and developers need to be able to query and handle the source data to find all the information they need for their decision making. The iPython... <a class="excerpt-read-more" href="http://spot.incubator.apache.org/blog/jupyter-notebooks-for-data-analysis/" title="Read Jupyter Notebooks for Data Analysis">Read more »</a>]]></description>
<content:encoded><![CDATA[<p><strong>Why Does Apache Spot Include iPython notebooks? </strong></p>
<p>The project team wants Apache Spot to be a versatile tool that can be used by anyone. This means that data scientists and developers need to be able to query and handle the source data to find all the information they need for their decision making. The iPython Notebook is an appropriate platform for easy data exploration. One of its biggest advantages is that it provides parallel and distributed computing to enable code execution and debugging in an interactive environment \u2013 thus the \u2018i\u2019 in iPython.</p>
<p>The iPython notebook is a web based interactive computational environment that provides access to the Python shell. While iPython notebooks were originally designed to work with the Python language, they support a number of other programming languages, including Ruby, Scala, Julia, R, Go, C, C++, Java and Perl. There are also multiple additional packages that can be used to get the most out of this highly-customizable tool.</p>
<p>Starting on version 4.0, most notebook functionalities are now part of the Project Jupyter, while iPython remains as the kernel to work with Python code in the notebooks.</p>
-<img src="http://spot.incubator.apache.org/wp-content/uploads/2016/10/iPython-1.png" alt="ipython" width="361" height="107" class="aligncenter size-full wp-image-140" srcset="http://spot.incubator.apache.org/wp-content/uploads/2016/10/iPython-1.png 361w, http://spot.incubator.apache.org/wp-content/uploads/2016/10/iPython-1-300x89.png 300w" sizes="(max-width: 361px) 100vw, 361px" />
+<img src="http://spot.incubator.apache.org/library/images/iPython-1.png" alt="ipython" class="aligncenter size-full wp-image-140" />
<p><strong>IPython with Apache Spot for Network Threat Detection</strong></p>
<p><em>NOTE:� This is not intended to be a step-by-step tutorial on how to code a threat analysis in Apache Spot, but more like an introduction on how to approach the suspicions of a security breach.</em></p>
<p>Although machine learning (ML) will do most of the work detecting anomalies in the traffic, Apache Spot also includes two notebook templates that can get you started on this. The <em>Threat_Investigation_master.ipynb</em> is designed to query the raw data table to find all connections in a day that are related to any threat you select \u2013 even connections that were not necessarily flagged as suspicious by ML on a first run. This gives us the chance to get a new data subset and here is where the fun begins.</p>
@@ -55,7 +55,7 @@
<p>This post was meant to be just a brief introduction of how you can use iPython notebooks in Apache Spot to perform further data analysis and include it our executive report (in addition to the already included Story board). Although this is not the only way you can do this, it is a very interactive and fun way to do it. You\u2019ll also see that the overall processing time is very short \u2013 thanks to the iPython notebook task parallelism ability.</p>
<p>We want to hear from YOU! Have you used iPython notebooks before? How do you feel about having this tool in Apache Spot? If you\u2019re interested in further data analysis through interactive charts, a new post is coming soon on D3 and jQuery data visualization. Also, check back soon to read more on this and other Cybersecurity subjects.</p>
]]></content:encoded>
- <wfw:commentRss>http://spot.incubator.apache.org/jupyter-notebooks-for-data-analysis/feed/</wfw:commentRss>
+ <wfw:commentRss>http://spot.incubator.apache.org/blog/jupyter-notebooks-for-data-analysis/feed/</wfw:commentRss>
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