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<h3 class="entry-title"><a href="/news/spark-1-1-0-released.html">Spark 1.1.0 released</a></h3>
<div class="entry-date">September 11, 2014</div>
</header>
- <div class="entry-content"><p>We are happy to announce the availability of <a href="/releases/spark-release-1-1-0.html" title="Spark Release 1.1.0">Spark 1.1.0</a>! Spark 1.1.0 is the second release in API-compatible 1.X line. It is Spark&#8217;s largest release ever, with contributions from 173 developers. </p>
+ <div class="entry-content"><p>We are happy to announce the availability of <a href="/releases/spark-release-1-1-0.html" title="Spark Release 1.1.0">Spark 1.1.0</a>! Spark 1.1.0 is the second release on the API-compatible 1.X line. It is Spark&#8217;s largest release ever, with contributions from 173 developers!</p>
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<h2>Spark 1.1.0 released</h2>
-<p>We are happy to announce the availability of <a href="/releases/spark-release-1-1-0.html" title="Spark Release 1.1.0">Spark 1.1.0</a>! Spark 1.1.0 is the second release in API-compatible 1.X line. It is Spark&#8217;s largest release ever, with contributions from 173 developers. </p>
+<p>We are happy to announce the availability of <a href="/releases/spark-release-1-1-0.html" title="Spark Release 1.1.0">Spark 1.1.0</a>! Spark 1.1.0 is the second release on the API-compatible 1.X line. It is Spark&#8217;s largest release ever, with contributions from 173 developers!</p>
-<p>This release brings operational and performance improvements in Spark core including a new implementation of the Spark shuffle designed for very large scale workloads. This adds significant extensions to the newest Spark modules, MLlib and Spark SQL. Spark SQL introduces a JDBC server, byte code generation for fast expression evaluation, a public types API, and other feature and performance improvements. MLlib introduces a new statistics libary along with several new algorithms and optimizations. Spark 1.1 also builds out Spark’s Python support and adds new components to the Spark Streaming module. </p>
+<p>This release brings operational and performance improvements in Spark core including a new implementation of the Spark shuffle designed for very large scale workloads. Spark 1.1 adds significant extensions to the newest Spark modules, MLlib and Spark SQL. Spark SQL introduces a JDBC server, byte code generation for fast expression evaluation, a public types API, JSON support, and other feature and optimizations. MLlib introduces a new statistics libary along with several new algorithms and optimizations. Spark 1.1 also builds out Spark’s Python support and adds new components to the Spark Streaming module. </p>
<p>Visit the <a href="/releases/spark-release-1-1-0.html" title="Spark Release 1.1.0">release notes</a> to read about the new features, or <a href="/downloads.html">download</a> the release today.</p>