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content/blog/index.html

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@@ -184,6 +184,21 @@ <h1>Blog</h1>
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<div class="col-sm-8">
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<!-- Blog posts -->
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<h2 class="blog-title"><a href="/news/2019/10/18/release-1.9.1.html">Apache Flink 1.9.1 Released</a></h2>
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<p>18 Oct 2019
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Jark Wu (<a href="https://twitter.com/JarkWu">@JarkWu</a>)</p>
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<p><p>The Apache Flink community released the first bugfix version of the Apache Flink 1.9 series.</p>
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</p>
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<p><a href="/news/2019/10/18/release-1.9.1.html">Continue reading &raquo;</a></p>
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</article>
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<h2 class="blog-title"><a href="/feature/2019/09/13/state-processor-api.html">The State Processor API: How to Read, write and modify the state of Flink applications</a></h2>
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<h2 class="blog-title"><a href="/2019/05/14/temporal-tables.html">Flux capacitor, huh? Temporal Tables and Joins in Streaming SQL</a></h2>
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<p>14 May 2019
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Marta Paes (<a href="https://twitter.com/morsapaes">@morsapaes</a>)</p>
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<p>Apache Flink natively supports temporal table joins since the 1.7 release for straightforward temporal data handling. In this blog post, we provide an overview of how this new concept can be leveraged for effective point-in-time analysis in streaming scenarios.</p>
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<p><a href="/2019/05/14/temporal-tables.html">Continue reading &raquo;</a></p>
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</article>
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<span class="page_number ">Page: 1 of 9</span>
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<span class="page_number ">Page: 1 of 10</span>
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<li><a href="/news/2019/10/18/release-1.9.1.html">Apache Flink 1.9.1 Released</a></li>
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<li><a href="/feature/2019/09/13/state-processor-api.html">The State Processor API: How to Read, write and modify the state of Flink applications</a></li>
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