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authorMatei Alexandru Zaharia <matei@apache.org>2014-01-08 05:43:23 +0000
committerMatei Alexandru Zaharia <matei@apache.org>2014-01-08 05:43:23 +0000
commite42e6e2bef38ca1d6fb92c27a7556f30be940574 (patch)
tree41cfc272012a0ddb13dfb2e2c7a375836f6134df /site/screencasts/index.html
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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>
+ <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>
</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>
@@ -142,7 +142,7 @@
<article class="hentry">
<header class="entry-header">
- <h1 class="entry-title"><a href="/screencasts/3-transformations-and-caching.html">Transformations and Caching - Spark Screencast #3</a></h1>
+ <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>
</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>