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From u..@apache.org
Subject [40/84] [abbrv] flink-web git commit: Updated Flink site
Date Wed, 18 Jan 2017 14:00:40 GMT
http://git-wip-us.apache.org/repos/asf/flink-web/blob/d8883b04/content/blog/index.html
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-    <title>Apache Flink: Blog</title>
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-  <div class="col-sm-12"><h1>Blog</h1></div>
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-    <!-- Blog posts -->
-    
-    <article>
-      <h2 class="blog-title"><a href="/news/2016/12/21/release-1.1.4.html">Apache Flink 1.1.4 Released</a></h2>
-      <p>21 Dec 2016</p>
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-      <p><p>The Apache Flink community released the next bugfix version of the Apache Flink 1.1 series.</p>
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-</p>
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-      <p><a href="/news/2016/12/21/release-1.1.4.html">Continue reading &raquo;</a></p>
-    </article>
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-    <hr>
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-    <article>
-      <h2 class="blog-title"><a href="/news/2016/12/19/2016-year-in-review.html">Apache Flink in 2016: Year in Review</a></h2>
-      <p>19 Dec 2016 by Mike Winters</p>
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-      <p><p>As 2016 comes to a close, let's take a moment to look back on the Flink community's great work during the past year.</p></p>
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-      <p><a href="/news/2016/12/19/2016-year-in-review.html">Continue reading &raquo;</a></p>
-    </article>
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-      <h2 class="blog-title"><a href="/news/2016/10/12/release-1.1.3.html">Apache Flink 1.1.3 Released</a></h2>
-      <p>12 Oct 2016</p>
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-      <p><p>The Apache Flink community released the next bugfix version of the Apache Flink 1.1. series.</p>
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-      <p><a href="/news/2016/10/12/release-1.1.3.html">Continue reading &raquo;</a></p>
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-      <h2 class="blog-title"><a href="/news/2016/09/05/release-1.1.2.html">Apache Flink 1.1.2 Released</a></h2>
-      <p>05 Sep 2016</p>
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-      <p><p>The Apache Flink community released another bugfix version of the Apache Flink 1.1. series.</p>
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-      <p><a href="/news/2016/09/05/release-1.1.2.html">Continue reading &raquo;</a></p>
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-      <h2 class="blog-title"><a href="/news/2016/08/24/ff16-keynotes-panels.html">Flink Forward 2016: Announcing Schedule, Keynotes, and Panel Discussion</a></h2>
-      <p>24 Aug 2016</p>
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-      <p><p>An update for the Flink community: the <a href="http://flink-forward.org/kb_day/day-1/">Flink Forward 2016 schedule</a> is now available online. This year's event will include 2 days of talks from stream processing experts at Google, MapR, Alibaba, Netflix, Cloudera, and more. Following the talks is a full day of hands-on Flink training.</p>
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-</p>
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-      <p><a href="/news/2016/08/24/ff16-keynotes-panels.html">Continue reading &raquo;</a></p>
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-      <h2 class="blog-title"><a href="/news/2016/08/11/release-1.1.1.html">Flink 1.1.1 Released</a></h2>
-      <p>11 Aug 2016</p>
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-      <p><p>Today, the Flink community released Flink version 1.1.1.</p>
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-      <p><a href="/news/2016/08/11/release-1.1.1.html">Continue reading &raquo;</a></p>
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-      <h2 class="blog-title"><a href="/news/2016/08/08/release-1.1.0.html">Announcing Apache Flink 1.1.0</a></h2>
-      <p>08 Aug 2016</p>
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-      <p><div class="alert alert-success"><strong>Important</strong>: The Maven artifacts published with version 1.1.0 on Maven central have a Hadoop dependency issue. It is highly recommended to use <strong>1.1.1</strong> or <strong>1.1.1-hadoop1</strong> as the Flink version.</div>
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-</p>
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-      <p><a href="/news/2016/08/08/release-1.1.0.html">Continue reading &raquo;</a></p>
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-      <h2 class="blog-title"><a href="/news/2016/05/24/stream-sql.html">Stream Processing for Everyone with SQL and Apache Flink</a></h2>
-      <p>24 May 2016 by Fabian Hueske (<a href="https://twitter.com/fhueske">@fhueske</a>)</p>
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-      <p><p>About six months ago, the Apache Flink community started an effort to add a SQL interface for stream data analysis. SQL is <i>the</i> standard language to access and process data. Everybody who occasionally analyzes data is familiar with SQL. Consequently, a SQL interface for stream data processing will make this technology accessible to a much wider audience. Moreover, SQL support for streaming data will also enable new use cases such as interactive and ad-hoc stream analysis and significantly simplify many applications including stream ingestion and simple transformations.</p>
-<p>In this blog post, we report on the current status, architectural design, and future plans of the Apache Flink community to implement support for SQL as a language for analyzing data streams.</p></p>
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-      <p><a href="/news/2016/05/24/stream-sql.html">Continue reading &raquo;</a></p>
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-      <p><p>Today, the Flink community released Flink version <strong>1.0.3</strong>, the third bugfix release of the 1.0 series.</p>
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-      <p><a href="/news/2016/05/11/release-1.0.3.html">Continue reading &raquo;</a></p>
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-      <h2 class="blog-title"><a href="/news/2016/04/22/release-1.0.2.html">Flink 1.0.2 Released</a></h2>
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-      <p><p>Today, the Flink community released Flink version <strong>1.0.2</strong>, the second bugfix release of the 1.0 series.</p>
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-      <p><a href="/news/2016/04/22/release-1.0.2.html">Continue reading &raquo;</a></p>
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-    <h2>2016</h2>
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-    <article>
-      <h2 class="blog-title"><a href="/news/2016/04/14/flink-forward-announce.html">Flink Forward 2016 Call for Submissions Is Now Open</a></h2>
-      <p>14 Apr 2016 by Aljoscha Krettek (<a href="https://twitter.com/aljoscha">@aljoscha</a>)</p>
-
-      <p><p>We are happy to announce that the call for submissions for Flink Forward 2016 is now open! The conference will take place September 12-14, 2016 in Berlin, Germany, bringing together the open source stream processing community. Most Apache Flink committers will attend the conference, making it the ideal venue to learn more about the project and its roadmap and connect with the community.</p>
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-      <p><a href="/news/2016/04/14/flink-forward-announce.html">Continue reading &raquo;</a></p>
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-    <hr>
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-      <h2 class="blog-title"><a href="/news/2016/04/06/cep-monitoring.html">Introducing Complex Event Processing (CEP) with Apache Flink</a></h2>
-      <p>06 Apr 2016 by Till Rohrmann (<a href="https://twitter.com/stsffap">@stsffap</a>)</p>
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-      <p>In this blog post, we introduce Flink's new <a href="https://ci.apache.org/projects/flink/flink-docs-master/apis/streaming/libs/cep.html">CEP library</a> that allows you to do pattern matching on event streams. Through the example of monitoring a data center and generating alerts, we showcase the library's ease of use and its intuitive Pattern API.</p>
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-      <p><a href="/news/2016/04/06/cep-monitoring.html">Continue reading &raquo;</a></p>
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-      <h2 class="blog-title"><a href="/news/2016/04/06/release-1.0.1.html">Flink 1.0.1 Released</a></h2>
-      <p>06 Apr 2016</p>
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-      <p><p>Today, the Flink community released Flink version <strong>1.0.1</strong>, the first bugfix release of the 1.0 series.</p>
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-</p>
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-      <p><a href="/news/2016/04/06/release-1.0.1.html">Continue reading &raquo;</a></p>
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-    <hr>
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-    <article>
-      <h2 class="blog-title"><a href="/news/2016/03/08/release-1.0.0.html">Announcing Apache Flink 1.0.0</a></h2>
-      <p>08 Mar 2016</p>
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-      <p><p>The Apache Flink community is pleased to announce the availability of the 1.0.0 release. The community put significant effort into improving and extending Apache Flink since the last release, focusing on improving the experience of writing and executing data stream processing pipelines in production.</p>
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-</p>
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-      <p><a href="/news/2016/03/08/release-1.0.0.html">Continue reading &raquo;</a></p>
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-    <hr>
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-    <article>
-      <h2 class="blog-title"><a href="/news/2016/02/11/release-0.10.2.html">Flink 0.10.2 Released</a></h2>
-      <p>11 Feb 2016</p>
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-      <p><p>Today, the Flink community released Flink version <strong>0.10.2</strong>, the second bugfix release of the 0.10 series.</p>
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-</p>
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-      <p><a href="/news/2016/02/11/release-0.10.2.html">Continue reading &raquo;</a></p>
-    </article>
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-    <hr>
-    
-    <article>
-      <h2 class="blog-title"><a href="/news/2015/12/18/a-year-in-review.html">Flink 2015: A year in review, and a lookout to 2016</a></h2>
-      <p>18 Dec 2015 by Robert Metzger (<a href="https://twitter.com/rmetzger_">@rmetzger_</a>)</p>
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-      <p><p>With 2015 ending, we thought that this would be good time to reflect on the amazing work done by the Flink community over this past year, and how much this community has grown.</p></p>
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-      <p><a href="/news/2015/12/18/a-year-in-review.html">Continue reading &raquo;</a></p>
-    </article>
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-    <hr>
-    
-    <article>
-      <h2 class="blog-title"><a href="/news/2015/12/11/storm-compatibility.html">Storm Compatibility in Apache Flink: How to run existing Storm topologies on Flink</a></h2>
-      <p>11 Dec 2015 by Matthias J. Sax (<a href="https://twitter.com/MatthiasJSax">@MatthiasJSax</a>)</p>
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-      <p>In this blog post, we describe Flink's compatibility package for <a href="https://storm.apache.org">Apache Storm</a> that allows to embed Spouts (sources) and Bolts (operators) in a regular Flink streaming job. Furthermore, the compatibility package provides a Storm compatible API in order to execute whole Storm topologies with (almost) no code adaption.</p>
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-      <p><a href="/news/2015/12/11/storm-compatibility.html">Continue reading &raquo;</a></p>
-    </article>
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-    <hr>
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-    <article>
-      <h2 class="blog-title"><a href="/news/2015/12/04/Introducing-windows.html">Introducing Stream Windows in Apache Flink</a></h2>
-      <p>04 Dec 2015 by Fabian Hueske (<a href="https://twitter.com/fhueske">@fhueske</a>)</p>
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-      <p><p>The data analysis space is witnessing an evolution from batch to stream processing for many use cases. Although batch can be handled as a special case of stream processing, analyzing never-ending streaming data often requires a shift in the mindset and comes with its own terminology (for example, “windowing” and “at-least-once”/”exactly-once” processing). This shift and the new terminology can be quite confusing for people being new to the space of stream processing. Apache Flink is a production-ready stream processor with an easy-to-use yet very expressive API to define advanced stream analysis programs. Flink's API features very flexible window definitions on data streams which let it stand out among other open source stream processors.</p>
-<p>In this blog post, we discuss the concept of windows for stream processing, present Flink's built-in windows, and explain its support for custom windowing semantics.</p></p>
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-      <p><a href="/news/2015/12/04/Introducing-windows.html">Continue reading &raquo;</a></p>
-    </article>
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-    <hr>
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-    <article>
-      <h2 class="blog-title"><a href="/news/2015/11/27/release-0.10.1.html">Flink 0.10.1 released</a></h2>
-      <p>27 Nov 2015</p>
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-      <p><p>Today, the Flink community released the first bugfix release of the 0.10 series of Flink.</p>
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-</p>
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-      <p><a href="/news/2015/11/27/release-0.10.1.html">Continue reading &raquo;</a></p>
-    </article>
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-    <hr>
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-    <article>
-      <h2 class="blog-title"><a href="/news/2015/11/16/release-0.10.0.html">Announcing Apache Flink 0.10.0</a></h2>
-      <p>16 Nov 2015</p>
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-      <p><p>The Apache Flink community is pleased to announce the availability of the 0.10.0 release. The community put significant effort into improving and extending Apache Flink since the last release, focusing on data stream processing and operational features. About 80 contributors provided bug fixes, improvements, and new features such that in total more than 400 JIRA issues could be resolved.</p>
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-</p>
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-      <p><a href="/news/2015/11/16/release-0.10.0.html">Continue reading &raquo;</a></p>
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-    <h2>2016</h2>
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-    <ul id="markdown-toc">
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-      <li><a href="/news/2016/12/21/release-1.1.4.html">Apache Flink 1.1.4 Released</a></li>
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-      <li><a href="/news/2016/12/19/2016-year-in-review.html">Apache Flink in 2016: Year in Review</a></li>
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-      <li><a href="/news/2016/10/12/release-1.1.3.html">Apache Flink 1.1.3 Released</a></li>
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-      <li><a href="/news/2016/09/05/release-1.1.2.html">Apache Flink 1.1.2 Released</a></li>
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-      <li><a href="/news/2016/08/24/ff16-keynotes-panels.html">Flink Forward 2016: Announcing Schedule, Keynotes, and Panel Discussion</a></li>
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-        
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-      <li><a href="/news/2016/08/11/release-1.1.1.html">Flink 1.1.1 Released</a></li>
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-        
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-      <li><a href="/news/2016/08/08/release-1.1.0.html">Announcing Apache Flink 1.1.0</a></li>
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-      <li><a href="/news/2016/05/24/stream-sql.html">Stream Processing for Everyone with SQL and Apache Flink</a></li>
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-        
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-      <li><a href="/news/2016/05/11/release-1.0.3.html">Flink 1.0.3 Released</a></li>
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-        
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-      <li><a href="/news/2016/04/22/release-1.0.2.html">Flink 1.0.2 Released</a></li>
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-        
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-      <li><a href="/news/2016/04/14/flink-forward-announce.html">Flink Forward 2016 Call for Submissions Is Now Open</a></li>
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-      <li><a href="/news/2016/04/06/cep-monitoring.html">Introducing Complex Event Processing (CEP) with Apache Flink</a></li>
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-        
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-      
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-      <li><a href="/news/2016/04/06/release-1.0.1.html">Flink 1.0.1 Released</a></li>
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-        
-      
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-      <li><a href="/news/2016/03/08/release-1.0.0.html">Announcing Apache Flink 1.0.0</a></li>
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-      <li><a href="/news/2016/02/11/release-0.10.2.html">Flink 0.10.2 Released</a></li>
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-        <hr>
-        <h2>2015</h2>
-    <ul id="markdown-toc">
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-      <li><a href="/news/2015/12/18/a-year-in-review.html">Flink 2015: A year in review, and a lookout to 2016</a></li>
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-      
-        
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-      
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-      <li><a href="/news/2015/12/11/storm-compatibility.html">Storm Compatibility in Apache Flink: How to run existing Storm topologies on Flink</a></li>
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-      <li><a href="/news/2015/12/04/Introducing-windows.html">Introducing Stream Windows in Apache Flink</a></li>
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-      <li><a href="/news/2015/11/27/release-0.10.1.html">Flink 0.10.1 released</a></li>
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-      <li><a href="/news/2015/09/01/release-0.9.1.html">Apache Flink 0.9.1 available</a></li>
-      
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-      <li><a href="/news/2015/08/24/introducing-flink-gelly.html">Introducing Gelly: Graph Processing with Apache Flink</a></li>
-      
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-        
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-    
-      
-      
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-      <li><a href="/news/2015/06/24/announcing-apache-flink-0.9.0-release.html">Announcing Apache Flink 0.9.0</a></li>
-      
-      
-        
-      
-    
-      
-      
-
-      
-      <li><a href="/news/2015/05/14/Community-update-April.html">April 2015 in the Flink community</a></li>
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-    
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-
-      
-      <li><a href="/news/2015/05/11/Juggling-with-Bits-and-Bytes.html">Juggling with Bits and Bytes</a></li>
-      
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-        
-      
-    
-      
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-      <li><a href="/news/2015/04/13/release-0.9.0-milestone1.html">Announcing Flink 0.9.0-milestone1 preview release</a></li>
-      
-      
-        
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-      
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-      <li><a href="/news/2015/04/07/march-in-flink.html">March 2015 in the Flink community</a></li>
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-
-      
-      <li><a href="/news/2015/03/13/peeking-into-Apache-Flinks-Engine-Room.html">Peeking into Apache Flink's Engine Room</a></li>
-      
-      
-        
-      
-    
-      
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-      
-      <li><a href="/news/2015/03/02/february-2015-in-flink.html">February 2015 in the Flink community</a></li>
-      
-      
-        
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-      
-      
-
-      
-      <li><a href="/news/2015/02/09/streaming-example.html">Introducing Flink Streaming</a></li>
-      
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-        
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-      
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-
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-      <li><a href="/news/2015/02/04/january-in-flink.html">January 2015 in the Flink community</a></li>
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-
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-      
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-        
-    </ul>
-        <hr>
-        <h2>2014</h2>
-    <ul id="markdown-toc">
-        
-      
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-      
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-        
-      
-    
-      
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-
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-      <li><a href="/news/2014/11/04/release-0.7.0.html">Apache Flink 0.7.0 available</a></li>
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http://git-wip-us.apache.org/repos/asf/flink-web/blob/d8883b04/content/blog/page3/index.html
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-</div>
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-  <div class="col-sm-8">
-    <!-- Blog posts -->
-    
-    <article>
-      <h2 class="blog-title"><a href="/news/2015/09/16/off-heap-memory.html">Off-heap Memory in Apache Flink and the curious JIT compiler</a></h2>
-      <p>16 Sep 2015 by Stephan Ewen (<a href="https://twitter.com/stephanewen">@stephanewen</a>)</p>
-
-      <p><p>Running data-intensive code in the JVM and making it well-behaved is tricky. Systems that put billions of data objects naively onto the JVM heap face unpredictable OutOfMemoryErrors and Garbage Collection stalls. Of course, you still want to to keep your data in memory as much as possible, for speed and responsiveness of the processing applications. In that context, &quot;off-heap&quot; has become almost something like a magic word to solve these problems.</p>
-<p>In this blog post, we will look at how Flink exploits off-heap memory. The feature is part of the upcoming release, but you can try it out with the latest nightly builds. We will also give a few interesting insights into the behavior for Java's JIT compiler for highly optimized methods and loops.</p></p>
-
-      <p><a href="/news/2015/09/16/off-heap-memory.html">Continue reading &raquo;</a></p>
-    </article>
-
-    <hr>
-    
-    <article>
-      <h2 class="blog-title"><a href="/news/2015/09/03/flink-forward.html">Announcing Flink Forward 2015</a></h2>
-      <p>03 Sep 2015</p>
-
-      <p><p><a href="http://2015.flink-forward.org/">Flink Forward 2015</a> is the first
-conference with Flink at its center that aims to bring together the
-Apache Flink community in a single place. The organizers are starting
-this conference in October 12 and 13 from Berlin, the place where
-Apache Flink started.</p>
-
-</p>
-
-      <p><a href="/news/2015/09/03/flink-forward.html">Continue reading &raquo;</a></p>
-    </article>
-
-    <hr>
-    
-    <article>
-      <h2 class="blog-title"><a href="/news/2015/09/01/release-0.9.1.html">Apache Flink 0.9.1 available</a></h2>
-      <p>01 Sep 2015</p>
-
-      <p><p>The Flink community is happy to announce that Flink 0.9.1 is now available.</p>
-
-</p>
-
-      <p><a href="/news/2015/09/01/release-0.9.1.html">Continue reading &raquo;</a></p>
-    </article>
-
-    <hr>
-    
-    <article>
-      <h2 class="blog-title"><a href="/news/2015/08/24/introducing-flink-gelly.html">Introducing Gelly: Graph Processing with Apache Flink</a></h2>
-      <p>24 Aug 2015</p>
-
-      <p><p>This blog post introduces <strong>Gelly</strong>, Apache Flink’s <em>graph-processing API and library</em>. Flink’s native support
-for iterations makes it a suitable platform for large-scale graph analytics.
-By leveraging delta iterations, Gelly is able to map various graph processing models such as
-vertex-centric or gather-sum-apply to Flink dataflows.</p>
-
-</p>
-
-      <p><a href="/news/2015/08/24/introducing-flink-gelly.html">Continue reading &raquo;</a></p>
-    </article>
-
-    <hr>
-    
-    <article>
-      <h2 class="blog-title"><a href="/news/2015/06/24/announcing-apache-flink-0.9.0-release.html">Announcing Apache Flink 0.9.0</a></h2>
-      <p>24 Jun 2015</p>
-
-      <p><p>The Apache Flink community is pleased to announce the availability of the 0.9.0 release. The release is the result of many months of hard work within the Flink community. It contains many new features and improvements which were previewed in the 0.9.0-milestone1 release and have been polished since then. This is the largest Flink release so far.</p>
-
-</p>
-
-      <p><a href="/news/2015/06/24/announcing-apache-flink-0.9.0-release.html">Continue reading &raquo;</a></p>
-    </article>
-
-    <hr>
-    
-    <article>
-      <h2 class="blog-title"><a href="/news/2015/05/14/Community-update-April.html">April 2015 in the Flink community</a></h2>
-      <p>14 May 2015 by Kostas Tzoumas (<a href="https://twitter.com/kostas_tzoumas">@kostas_tzoumas</a>)</p>
-
-      <p><p>The monthly update from the Flink community. Including the availability of a new preview release, lots of meetups and conference talks and a great interview about Flink.</p></p>
-
-      <p><a href="/news/2015/05/14/Community-update-April.html">Continue reading &raquo;</a></p>
-    </article>
-
-    <hr>
-    
-    <article>
-      <h2 class="blog-title"><a href="/news/2015/05/11/Juggling-with-Bits-and-Bytes.html">Juggling with Bits and Bytes</a></h2>
-      <p>11 May 2015 by Fabian Hüske (<a href="https://twitter.com/fhueske">@fhueske</a>)</p>
-
-      <p><p>Nowadays, a lot of open-source systems for analyzing large data sets are implemented in Java or other JVM-based programming languages. The most well-known example is Apache Hadoop, but also newer frameworks such as Apache Spark, Apache Drill, and also Apache Flink run on JVMs. A common challenge that JVM-based data analysis engines face is to store large amounts of data in memory - both for caching and for efficient processing such as sorting and joining of data. Managing the JVM memory well makes the difference between a system that is hard to configure and has unpredictable reliability and performance and a system that behaves robustly with few configuration knobs.</p>
-<p>In this blog post we discuss how Apache Flink manages memory, talk about its custom data de/serialization stack, and show how it operates on binary data.</p></p>
-
-      <p><a href="/news/2015/05/11/Juggling-with-Bits-and-Bytes.html">Continue reading &raquo;</a></p>
-    </article>
-
-    <hr>
-    
-    <article>
-      <h2 class="blog-title"><a href="/news/2015/04/13/release-0.9.0-milestone1.html">Announcing Flink 0.9.0-milestone1 preview release</a></h2>
-      <p>13 Apr 2015</p>
-
-      <p><p>The Apache Flink community is pleased to announce the availability of
-the 0.9.0-milestone-1 release. The release is a preview of the
-upcoming 0.9.0 release. It contains many new features which will be
-available in the upcoming 0.9 release. Interested users are encouraged
-to try it out and give feedback. As the version number indicates, this
-release is a preview release that contains known issues.</p>
-
-</p>
-
-      <p><a href="/news/2015/04/13/release-0.9.0-milestone1.html">Continue reading &raquo;</a></p>
-    </article>
-
-    <hr>
-    
-    <article>
-      <h2 class="blog-title"><a href="/news/2015/04/07/march-in-flink.html">March 2015 in the Flink community</a></h2>
-      <p>07 Apr 2015</p>
-
-      <p><p>March has been a busy month in the Flink community.</p>
-
-</p>
-
-      <p><a href="/news/2015/04/07/march-in-flink.html">Continue reading &raquo;</a></p>
-    </article>
-
-    <hr>
-    
-    <article>
-      <h2 class="blog-title"><a href="/news/2015/03/13/peeking-into-Apache-Flinks-Engine-Room.html">Peeking into Apache Flink's Engine Room</a></h2>
-      <p>13 Mar 2015 by Fabian Hüske (<a href="https://twitter.com/fhueske">@fhueske</a>)</p>
-
-      <p>Joins are prevalent operations in many data processing applications. Most data processing systems feature APIs that make joining data sets very easy. However, the internal algorithms for join processing are much more involved – especially if large data sets need to be efficiently handled. In this blog post, we cut through Apache Flink’s layered architecture and take a look at its internals with a focus on how it handles joins.</p>
-
-      <p><a href="/news/2015/03/13/peeking-into-Apache-Flinks-Engine-Room.html">Continue reading &raquo;</a></p>
-    </article>
-
-    <hr>
-    
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-    <!-- Blog posts by YEAR -->
-    
-      
-      
-
-      
-    <h2>2016</h2>
-
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-      <li><a href="/news/2016/12/21/release-1.1.4.html">Apache Flink 1.1.4 Released</a></li>
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-        <hr>
-        <h2>2015</h2>
-    <ul id="markdown-toc">
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-      <li><a href="/news/2015/12/11/storm-compatibility.html">Storm Compatibility in Apache Flink: How to run existing Storm topologies on Flink</a></li>
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-      <li><a href="/news/2015/04/13/release-0.9.0-milestone1.html">Announcing Flink 0.9.0-milestone1 preview release</a></li>
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-      <li><a href="/news/2015/04/07/march-in-flink.html">March 2015 in the Flink community</a></li>
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-      <li><a href="/news/2015/03/13/peeking-into-Apache-Flinks-Engine-Room.html">Peeking into Apache Flink's Engine Room</a></li>
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-      <li><a href="/news/2015/02/09/streaming-example.html">Introducing Flink Streaming</a></li>
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-      <li><a href="/news/2015/02/04/january-in-flink.html">January 2015 in the Flink community</a></li>
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-      <li><a href="/news/2015/01/21/release-0.8.html">Apache Flink 0.8.0 available</a></li>
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-      <li><a href="/news/2015/01/06/december-in-flink.html">December 2014 in the Flink community</a></li>
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-        <hr>
-        <h2>2014</h2>
-    <ul id="markdown-toc">
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-      <li><a href="/news/2014/11/18/hadoop-compatibility.html">Hadoop Compatibility in Flink</a></li>
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-      <li><a href="/news/2014/11/04/release-0.7.0.html">Apache Flink 0.7.0 available</a></li>
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-      <li><a href="/news/2014/10/03/upcoming_events.html">Upcoming Events</a></li>
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-      <li><a href="/news/2014/09/26/release-0.6.1.html">Apache Flink 0.6.1 available</a></li>
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-      <li><a href="/news/2014/08/26/release-0.6.html">Apache Flink 0.6 available</a></li>
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-      
-    </ul>
-      
-    
-  </div>
-</div>
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