You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@ignite.apache.org by dm...@apache.org on 2018/03/21 22:18:25 UTC
svn commit: r1827446 - /ignite/site/trunk/events.html
Author: dmagda
Date: Wed Mar 21 22:18:24 2018
New Revision: 1827446
URL: http://svn.apache.org/viewvc?rev=1827446&view=rev
Log:
updated April events
Modified:
ignite/site/trunk/events.html
Modified: ignite/site/trunk/events.html
URL: http://svn.apache.org/viewvc/ignite/site/trunk/events.html?rev=1827446&r1=1827445&r2=1827446&view=diff
==============================================================================
--- ignite/site/trunk/events.html (original)
+++ ignite/site/trunk/events.html Wed Mar 21 22:18:24 2018
@@ -51,6 +51,107 @@ under the License.
<section id="news" class="page-section">
<h1 class="first">Meetups & Events</h1>
<div class="col-sm-12 col-md-12 col-xs-12" style="padding-left: 0; padding-right: 20px;">
+ <section id="Bay-Area-In-Memory-Computing-events-248615199" class="page-section news-section">
+ <div><h3 style="display:inline-block;">Comparing Apache Ignite and Cassandra for Hybrid Transactional/Analytical Processing (HTAP)
+ <a href="/events.html#Bay-Area-In-Memory-Computing-events-248615199"><i class="fa fa-anchor"></i></a>
+ </h3></div>
+ <span class="news-date">Bay Area In-Memory Computing Meetup, Speaker - Dmitriy Setrakyan</span><br/><br/>
+ <span class="news-date">April 11, 2018</span>
+ <p>
+ Learn some of the current best practices in building HTAP applications, and the
+ differences between two of the more common technologies companies use: Apache® Cassandra⢠and Apache® Igniteâ¢.
+ This session will cover:
+ </p>
+ <ul class="page-list">
+ <li>The requirements for real-time, high volume HTAP applications</li>
+ <li>Architectural best practices, including how in-memory computing fits in and has eliminated tradeoffs between consistency, speed and scale</li>
+ <li>A detailed comparison of Apache Ignite and GridGain® for HTAP applications</li>
+ </ul>
+ <div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
+ <p>
+ <a href="https://www.meetup.com/Bay-Area-In-Memory-Computing/events/248615199/" target="_blank">Read more</a>
+ </p>
+ </div>
+ <div class="col-sm-12 col-md-3 col-xs-12 ">
+
+ <!-- AddToAny BEGIN -->
+ <div class="a2a_kit a2a_kit_size_28 a2a_default_style news-socialmedia-icons"
+ data-a2a-url="https://www.meetup.com/Bay-Area-In-Memory-Computing/events/248615199/"
+ data-a2a-title="Comparing Apache Ignite and Cassandra for Hybrid Transactional/Analytical Processing (HTAP)">
+ <a class="a2a_button_twitter"></a>
+ <a class="a2a_button_linkedin"></a>
+ <a class="a2a_button_facebook"></a>
+ <a class="a2a_dd" href="https://www.addtoany.com/share"></a>
+ </div>
+ <!-- AddToAny END -->
+ </div>
+ <p style="margin:0;"> </p>
+ </section>
+ <section id="Apache-Spark-Maryland-events-248437125" class="page-section news-section">
+ <div><h3 style="display:inline-block;">Apache Spark and Apache Ignite: Make streaming analytics real with in-memory computing
+ <a href="/events.html#Apache-Spark-Maryland-events-248437125"><i class="fa fa-anchor"></i></a>
+ </h3></div>
+ <span class="news-date">Apache Spark and Distributed Computing Maryland, Speaker - Akmal Chaudhri</span><br/><br/>
+ <span class="news-date">April 05, 2018</span>
+ <p>
+ Learn how Apache Spark is integrated with Apache Ignite through standard Spark APIs, and how Spark benefits from processing data in-memory in Apache Ignite. In this session Akmal will demonstrate how to:
+
+ </p>
+ <ul class="page-list">
+ <li>Use Ignite as an in-memory database for Spark applications</li>
+ <li>Perform streaming analytics by deploying Spark stream pipeline</li>
+ <li>Process data stored in Ignite with Spark RDDs and DataFrames</li>
+ <li>Speed up SQL queries by leveraging the Ignite SQL engine and indexing</li>
+ </ul>
+ <div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
+ <p>
+ <a href="https://www.meetup.com/Apache-Spark-Maryland/events/248437125/" target="_blank">Read more</a>
+ </p>
+ </div>
+ <div class="col-sm-12 col-md-3 col-xs-12 ">
+
+ <!-- AddToAny BEGIN -->
+ <div class="a2a_kit a2a_kit_size_28 a2a_default_style news-socialmedia-icons"
+ data-a2a-url="https://www.meetup.com/Apache-Spark-Maryland/events/248437125/"
+ data-a2a-title="Apache Spark and Apache Ignite: Make streaming analytics real with in-memory computing">
+ <a class="a2a_button_twitter"></a>
+ <a class="a2a_button_linkedin"></a>
+ <a class="a2a_button_facebook"></a>
+ <a class="a2a_dd" href="https://www.addtoany.com/share"></a>
+ </div>
+ <!-- AddToAny END -->
+ </div>
+ <p style="margin:0;"> </p>
+ </section>
+ <section id="DC-Spring-Framework-events-247811860" class="page-section news-section">
+ <div><h3 style="display:inline-block;">Faster data access and processing? Our experiment with Apache Ignite
+ <a href="/events.html#DC-Spring-Framework-events-247811860"><i class="fa fa-anchor"></i></a>
+ </h3></div>
+ <span class="news-date">DC Spring Framework Meetup, Speaker - Akmal Chaudhri</span><br/><br/>
+ <span class="news-date">April 03, 2018</span>
+ <p>
+ Slow database performance is a common complaint for Java developers. Is Apache Ignite the solution? Akmal Chaudhri will cover a few typical use cases and work through some code examples using Apache Ignite.
+ </p>
+ <div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
+ <p>
+ <a href="https://www.meetup.com/DC-Spring-Framework/events/247811860/" target="_blank">Read more</a>
+ </p>
+ </div>
+ <div class="col-sm-12 col-md-3 col-xs-12 ">
+
+ <!-- AddToAny BEGIN -->
+ <div class="a2a_kit a2a_kit_size_28 a2a_default_style news-socialmedia-icons"
+ data-a2a-url="https://www.meetup.com/DC-Spring-Framework/events/247811860/"
+ data-a2a-title="Faster data access and processing? Our experiment with Apache Ignite">
+ <a class="a2a_button_twitter"></a>
+ <a class="a2a_button_linkedin"></a>
+ <a class="a2a_button_facebook"></a>
+ <a class="a2a_dd" href="https://www.addtoany.com/share"></a>
+ </div>
+ <!-- AddToAny END -->
+ </div>
+ <p style="margin:0;"> </p>
+ </section>
<section id="brighttalk-comparing-apacher-ignitetm-and-cassandratm-hybrid-transactional-applications" class="page-section news-section">
<div><h3 style="display:inline-block;">Comparing Apache® Ignite⢠and Cassandra⢠for Hybrid Transactional Applications (HTAP)
<a href="/events.html#brighttalk-comparing-apacher-ignitetm-and-cassandratm-hybrid-transactional-applications"><i class="fa fa-anchor"></i></a>