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<p>In this third Spark screencast, we demonstrate more advanced use of RDD actions and transformations, as well as caching RDDs in memory.</p>
-<div class="video-container shadow"><iframe width="755" height="705" src="http://www.youtube.com/embed/T1lZcimvL18?autohide=0&amp;showinfo=0" frameborder="0" allowfullscreen=""></iframe></div>
+<div class="video-container video-square shadow"><iframe width="755" height="705" src="http://www.youtube.com/embed/T1lZcimvL18?autohide=0&amp;showinfo=0" frameborder="0" allowfullscreen=""></iframe></div>
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+<p>Check out the next spark screencast in the series, <a href="/screencasts/4-a-standalone-job-in-spark.html">Spark Screencast #4 - A Standalone Job in Scala</a>.</p>
<p>For more information and links to other Spark screencasts, check out the <a href="/documentation.html">Spark documentation page</a>.</p>