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authorMatei Alexandru Zaharia <matei@apache.org>2013-10-25 05:14:37 +0000
committerMatei Alexandru Zaharia <matei@apache.org>2013-10-25 05:14:37 +0000
commitc4cb73a9704b10b5e15ebd31a6ad876595030b39 (patch)
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<p>To run programs faster, Spark offers a general execution model that can optimize arbitrary operator graphs, and supports in-memory computing, which lets it query data faster than disk-based engines like Hadoop.</p>
<p>To make programming faster, Spark provides clean, concise APIs in
-<a href="/docs/latest/quick-start.html#a-standalone-job-in-python">Python</a>,
-<a href="http://www.scala-lang.org" onclick="javascript:_gaq.push(['_trackEvent','outbound-article','http://www.scala-lang.org']);">Scala</a> and
-<a href="/docs/latest/quick-start.html#a-standalone-job-in-java">Java</a>.
+<a href="http://www.scala-lang.org" onclick="javascript:_gaq.push(['_trackEvent','outbound-article','http://www.scala-lang.org']);">Scala</a>,
+<a href="/docs/latest/quick-start.html#a-standalone-job-in-java">Java</a> and
+<a href="/docs/latest/quick-start.html#a-standalone-job-in-python">Python</a>.
You can also use Spark interactively from the Scala and Python shells to rapidly query big datasets.</p>
<h2 id="what-can-it-do">What can it do?</h2>