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Spark Screencast Archive | Apache Spark
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<h1 class="entry-title"><a href="/screencasts/4-a-standalone-job-in-spark.html">4 A Standalone Job In Spark</a></h1>
<div class="entry-meta">August 26, 2013</div>
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<div class="entry-content"><p>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.</p>
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<h1 class="entry-title"><a href="/screencasts/3-transformations-and-caching.html">3 Transformations And Caching</a></h1>
<div class="entry-meta">April 16, 2013</div>
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<div class="entry-content"><p>In this third Spark screencast, we demonstrate more advanced use of RDD actions and transformations, as well as caching RDDs in memory.</p>
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<h1 class="entry-title"><a href="/screencasts/2-spark-documentation-overview.html">Spark Documentation Overview – Screencast #2</a></h1>
<div class="entry-meta">April 11, 2013</div>
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<div class="entry-content"><p>This is our 2nd Spark screencast. In it, we take a tour of the documentation available for Spark users online.</p>
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<h1 class="entry-title"><a href="/screencasts/1-first-steps-with-spark.html">First Steps with Spark - Screencast #1</a></h1>
<div class="entry-meta">April 10, 2013</div>
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<div class="entry-content"><p>This screencast marks the beginning of a series of hands-on screencasts we will be publishing to help new users get up and running in minutes. In this screencast, we:</p>
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<li>Download and build Spark on a local machine (running OS X, but should be a similar process for Linux or Unix).</li>
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