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| <h2 id="spark-screencast-archive">Spark Screencast Archive</h2> |
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| <article class="hentry"> |
| <header class="entry-header"> |
| <h1 class="entry-title"><a href="/screencasts/4-a-standalone-job-in-spark.html">A Standalone Job in Scala - Spark Screencast #4</a></h1> |
| <div class="entry-meta">August 26, 2013</div> |
| </header> |
| <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">Transformations and Caching - Spark Screencast #3</a></h1> |
| <div class="entry-meta">April 16, 2013</div> |
| </header> |
| <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> |
| </div> |
| </article> |
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| <header class="entry-header"> |
| <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> |
| </header> |
| <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> |
| </div> |
| </article> |
| |
| <article class="hentry"> |
| <header class="entry-header"> |
| <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> |
| </header> |
| <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> |
| <ol> |
| <li>Download and build Spark on a local machine (running OS X, but should be a similar process for Linux or Unix).</li> |
| <li>Introduce the API using the Spark interactive shell to explore a file.</li> |
| </ol> |
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| <li><a href="/news/spark-3-4-3-released.html">Spark 3.4.3 released</a> |
| <span class="small">(Apr 18, 2024)</span></li> |
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| <li><a href="/news/spark-3-5-1-released.html">Spark 3.5.1 released</a> |
| <span class="small">(Feb 23, 2024)</span></li> |
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| <li><a href="/news/spark-3-3-4-released.html">Spark 3.3.4 released</a> |
| <span class="small">(Dec 16, 2023)</span></li> |
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| <li><a href="/news/spark-3-4-2-released.html">Spark 3.4.2 released</a> |
| <span class="small">(Nov 30, 2023)</span></li> |
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