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In this third Spark screencast, we demonstrate more advanced use of RDD actions and transformations, as well as caching RDDs in memory.
-<div class="video-container video-square shadow"><iframe width="755" height="705" src="http://www.youtube.com/embed/TtvxKzO9jXE?autohide=0&showinfo=0&list=PL-x35fyliRwhKT-NpTKprPW1bkbdDcTTW" frameborder="0" allowfullscreen></iframe></div>
+<div class="video-container video-square shadow"><iframe width="755" height="705" src="//www.youtube.com/embed/TtvxKzO9jXE?autohide=0&showinfo=0&list=PL-x35fyliRwhKT-NpTKprPW1bkbdDcTTW" frameborder="0" allowfullscreen></iframe></div>
Check out the next spark screencast in the series, <a href="{{site.url}}screencasts/4-a-standalone-job-in-spark.html">Spark Screencast #4 - A Standalone Job in Scala</a>.