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authorMatei Alexandru Zaharia <matei@apache.org>2014-08-26 01:53:10 +0000
committerMatei Alexandru Zaharia <matei@apache.org>2014-08-26 01:53:10 +0000
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downloadspark-website-1f32de1de92160c203fa8bedaff67cf4bf0d835f.tar.gz
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In this Spark screencast, we create a standalone Apache Spark job in Scala. In the job, we create a spark context and read a file into an RDD of strings; then apply transformations and actions to the RDD and print out the results.
-<div class="video-container video-16x9 shadow"><iframe width="755" height="425" src="http://www.youtube.com/embed/GaBn-YjlR8Q?autohide=0&showinfo=0&list=PL-x35fyliRwhKT-NpTKprPW1bkbdDcTTW" frameborder="0" allowfullscreen></iframe></div>
+<div class="video-container video-16x9 shadow"><iframe width="755" height="425" src="//www.youtube.com/embed/GaBn-YjlR8Q?autohide=0&showinfo=0&list=PL-x35fyliRwhKT-NpTKprPW1bkbdDcTTW" frameborder="0" allowfullscreen></iframe></div>
For more information and links to other Spark screencasts, check out the <a href="{{site.url}}documentation.html">Spark documentation page</a>.