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<h1>Apache Ignite</h1> | |
<p>In-Memory Data Fabric</p> | |
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<!--<h2>Overview</h2>--> | |
<p> | |
Apache Ignite In-Memory Data Fabric is a high-performance, | |
integrated and distributed in-memory platform for computing | |
and transacting on large-scale data sets in real-time, orders | |
of magnitude faster than possible with traditional disk-based | |
or flash technologies. | |
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Apache Ignite In-Memory Data Fabric is designed to deliver | |
uncompromised performance for a wide set of in-memory computing | |
use cases from <a href="features.html">high performance computing</a>, to the industry most advanced <a href="features.html">data grid</a>, highly available <a href="features.html">service grid</a>, and <a href="features.html">streaming</a>. | |
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<a href="https://dzone.com/articles/pitfalls-of-the-mybatis-caches-with-apache-ignite" target="_blank"> | |
Pitfalls of the MyBatis Caches With Apache Ignite</a><br/> | |
<span class="news-box-date">Blog, Shamim Bhuiyan, Mar 9, 2016</span> | |
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<a href="https://dzone.com/articles/linking-apache-ignite-and-apache-kafka-for-highly" target="_blank"> | |
Linking Apache Ignite and Apache Kafka for Highly Scalable and Reliable Data Processing</a><br/> | |
<span class="news-box-date">Blog, Roman Shtykh, Mar 3, 2016</span> | |
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<li><a href="/addons.html"> | |
Ignite Adds Add-ons</a><br/> | |
<span class="news-box-date">Feb 17, 2016</span> | |
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<a href="http://raul.io/a-universal-streamer-for-apache-ignite-based-on-apache-camel/" target="_blank"> | |
Apache Ignite Streamer based on Apache Camel</a><br/> | |
<span class="news-box-date">Blog, Raúl Kripalani, Jan 28, 2016</span> | |
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<li><a href="/news.html#release-1.5.0.final"> | |
Apache Ignite 1.5.0.final Released</a><br/> | |
<span class="news-box-date">Jan 4, 2016</span> | |
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<h2 style="text-align: left;">Distributed SQL Queries</h2> | |
<p>Apache Ignite supports a very elegant query API with support for:</p> | |
<ul class="page-list"> | |
<li>Scan Queries (Predicate-based)</li> | |
<li>SQL Queries (ANSI 99)</li> | |
<li>Text Queries</li> | |
</ul> | |
<p>This video demonstrates how to exectute distributed cache queries in Ignite using standard SQL syntax.</p> | |
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<iframe width="575" height="325" align="right" src="https://www.youtube.com/embed/eZUujozYt-g" frameborder="0" allowfullscreen></iframe> | |
<p class="video-duration">Duration: 03:25</p> | |
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</div> | |
<p> </p> | |
</section> | |
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<h2 style="text-align: left;">Getting Started with Data Grid</h2> | |
<p>Apache Ignite In-Memory Data Grid is an implementation of <code><span style="white-space: nowrap">JCache (JSR 107)</span></code> that supports:</p> | |
<ul class="page-list"> | |
<li>Basic Cache Operations</li> | |
<li>ConcurrentMap APIs</li> | |
<li>EntryProcessor</li> | |
<li>Pluggable Persistence</li> | |
</ul> | |
<p>This video shows how to use basic cache operations and <code>ACID transactions</code>.</p> | |
</div> | |
<div class="col-sm-8 col-md-8 col-xs-12"> | |
<iframe width="575" height="325" align="right" src="https://www.youtube.com/embed/pFbDWpOiMOU" frameborder="0" allowfullscreen></iframe> | |
<p class="video-duration">Duration: 03:50</p> | |
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</div> | |
<p style="margin:0;"> </p> | |
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<section id="startcompute" class="page-section"> | |
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<h2 style="text-align: left;">Getting Started with Compute Grid</h2> | |
<p>Apache Ignite has advanced compute and clustering capabilities including:</p> | |
<ul class="page-list"> | |
<li>Dynamic Sub-Clusters</li> | |
<li>Clustered Lambda Execution</li> | |
<li>Clustered ForkJoin Tasks</li> | |
</ul> | |
<p>In this video we will broadcast and execute a "Hello World" closure on all the nodes in the cluster.</p> | |
</div> | |
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<iframe width="575" height="325" align="right" src="https://www.youtube.com/embed/J775J77_-B8" frameborder="0" allowfullscreen></iframe> | |
<p class="video-duration">Duration: 03:50</p> | |
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<h2>Ask a Question</h2> | |
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If you have any questions about how to use Apache Ignite, please post them to the <a href="http://apache-ignite-users.70518.x6.nabble.com/" title="Ask a Question">User Forum</a>. | |
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