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Posted to commits@spot.apache.org by le...@apache.org on 2019/09/11 01:39:38 UTC
[incubator-spot] 09/45: Fixing Inconsistent/incorrect use of Apache
trademark on the blog entry
This is an automated email from the ASF dual-hosted git repository.
leahy pushed a commit to branch asf-site
in repository https://gitbox.apache.org/repos/asf/incubator-spot.git
commit c8b988172620524bab7b5d6463b8c3f3e8c18b52
Author: cesar <ce...@apache.org>
AuthorDate: Mon Oct 17 18:33:09 2016 -0500
Fixing Inconsistent/incorrect use of Apache trademark on the blog entry
---
.../index.html | 32 +++++++++++-----------
1 file changed, 16 insertions(+), 16 deletions(-)
diff --git a/how-open-network-insight-helps-create-well-stocked-data-lakes-and-catch-powerful-insights/index.html b/how-open-network-insight-helps-create-well-stocked-data-lakes-and-catch-powerful-insights/index.html
index 48fcd16..5902ac9 100644
--- a/how-open-network-insight-helps-create-well-stocked-data-lakes-and-catch-powerful-insights/index.html
+++ b/how-open-network-insight-helps-create-well-stocked-data-lakes-and-catch-powerful-insights/index.html
@@ -12,7 +12,7 @@
<meta http-equiv="X-UA-Compatible" content="IE=edge">
- <title>Apache Spot How Apache Spot Helps Create Well-Stocked Data Lakes and Catch Powerful Insights</title>
+ <title>Apache Spot (Incubating) How Apache Spot (Incubating) Helps Create Well-Stocked Data Lakes and Catch Powerful Insights</title>
<meta name="HandheldFriendly" content="True">
<meta name="MobileOptimized" content="320">
@@ -31,9 +31,9 @@
<link rel='dns-prefetch' href='//fonts.googleapis.com' />
<link rel='dns-prefetch' href='//s.w.org' />
- <link rel="alternate" type="application/rss+xml" title="Apache Spot » Feed" href="../feed/" />
- <link rel="alternate" type="application/rss+xml" title="Apache Spot » Comments Feed" href="../comments/feed/" />
- <link rel="alternate" type="application/rss+xml" title="Apache Spot » How Apache Spot Helps Create Well-Stocked Data Lakes and Catch Powerful Insights Comments Feed" href="../how-open-network-insight-helps-create-well-stocked-data-lakes-and-catch-powerful-insights/feed/" />
+ <link rel="alternate" type="application/rss+xml" title="Apache Spot (Incubating) » Feed" href="../feed/" />
+ <link rel="alternate" type="application/rss+xml" title="Apache Spot (Incubating) » Comments Feed" href="../comments/feed/" />
+ <link rel="alternate" type="application/rss+xml" title="Apache Spot (Incubating) » How Apache Spot (Incubating) Helps Create Well-Stocked Data Lakes and Catch Powerful Insights Comments Feed" href="../how-open-network-insight-helps-create-well-stocked-data-lakes-and-catch-powerful-insights/feed/" />
<script type="text/javascript">
window._wpemojiSettings = {
"baseUrl" : "https:\/\/s.w.org\/images\/core\/emoji\/2\/72x72\/",
@@ -198,7 +198,7 @@
<header class="article-header entry-header">
- <h1 class="entry-title single-title" itemprop="headline" rel="bookmark">How Apache Spot Helps Create Well-Stocked Data Lakes and Catch Powerful Insights</h1>
+ <h1 class="entry-title single-title" itemprop="headline" rel="bookmark">How Apache Spot (Incubating) Helps Create Well-Stocked Data Lakes and Catch Powerful Insights</h1>
<p class="byline entry-meta vcard">
@@ -214,27 +214,27 @@
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 “what if” 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 or [...]
</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’s question about the right product to offer customers.
+ Apache Spot (Incubating) can help to solve most of these issues. Following is a description of the Apache Spot (Incubating), which is designed to facilitate Big Data analytics scenarios like the financial services company’s question about the right product to offer customers.
</p>
<a href="../wp-content/uploads/2016/09/ONI_Architecture-Diagram_1300_v4.png"><img src="../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="../wp-content/uploads/2016/09/ONI_Architecture-Diagram_1300_v4.png 1300w, ../wp-content/uploads/2016/09/ONI_Architecture-Diagram_1300_v4-300x156.png 300w, ../wp-content/uploads/2016/09/ONI_Ar [...]
- <h3><strong>Apache Spot Core Components</strong></h3>
+ <h3><strong>Apache Spot (Incubating) Core Components</strong></h3>
<p>
- The Apache Spot Core is composed of three main components — data integration (collectors), data store (HDFS here, but can also be a non-SQL database) and machine learning.
+ The Apache Spot (Incubating) Core is composed of three main components — 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’s “collectors.” 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 [...]
+ In this diagram, the top left shows Apache Spot (Incubating) 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 (Incubating)’s “collectors.” The collectors are processes that interpret the information that is sent, then write it to the HDFS system in the Apache Spot (Incubating) clu [...]
</p>
<h3><strong>Operational Analytics</strong></h3>
<p>
- As part of operational analytics, Apache Spot executes different batch processes that add information to machine learning results to provide meaning and context. Using the financial services product example, basic customer data could be augmented with information about other customers in the same region along with information about which products those customers recommended or complained about. Basically, the data scientists can “play” with the data us [...]
+ As part of operational analytics, Apache Spot (Incubating) executes different batch processes that add information to machine learning results to provide meaning and context. Using the financial services product example, basic customer data could be augmented with information about other customers in the same region along with information about which products those customers recommended or complained about. Basically, the data scientists can “play” wit [...]
</p>
<h3><strong>Visualizing Results</strong></h3>
<p>
- The Apache Spot GUI displays the results that the machine learning algorithms generate. Results are represented such that it is easy to identify both the most common things as well as find the most suspicious or uncommon information that is part of the data lake.
+ The Apache Spot (Incubating) GUI displays the results that the machine learning algorithms generate. Results are represented such that it is easy to identify both the most common things as well as find the most suspicious or uncommon information that is part of the data lake.
</p>
<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.
+ Because Apache Spot (Incubating) is an open-source project, most of the components depicted here can be modified by the end user.
</p>
</section>
<footer class="article-footer">
@@ -253,13 +253,13 @@
<h4 class="widgettitle">Recent Posts</h4>
<ul>
<li>
- <a href="../open-network-insight-oni-and-cybersecurity-using-netflows-to-detect-threats-to-critical-infrastructure/">Apache Spot and Cybersecurity — Using NetFlows to Detect Threats to Critical Infrastructure</a>
+ <a href="../open-network-insight-oni-and-cybersecurity-using-netflows-to-detect-threats-to-critical-infrastructure/">Apache Spot (Incubating) and Cybersecurity — Using NetFlows to Detect Threats to Critical Infrastructure</a>
</li>
<li>
- <a href="../how-open-network-insight-helps-create-well-stocked-data-lakes-and-catch-powerful-insights/">How Apache Spot Helps Create Well-Stocked Data Lakes and Catch Powerful Insights</a>
+ <a href="../how-open-network-insight-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="../open-network-insight-3-most-asked-questions/">Apache Spot: Three Most-Asked Questions</a>
+ <a href="../open-network-insight-3-most-asked-questions/">Apache Spot (Incubating): Three Most-Asked Questions</a>
</li>
</ul>
</div>
@@ -287,7 +287,7 @@
<nav role="navigation"></nav>
<p class="source-org copyright" style="text-align:center;">
- © 2016 Apache Spot.
+ © 2016 Apache Spot (Incubating).
</p>
</div>