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    <title>Spark on Benny Simmonds</title>
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      <title>Apache Spark</title>
      <link>https://www.bencode.io/posts/2018-07-02-spark/</link>
      <pubDate>Mon, 02 Jul 2018 19:41:10 +0000</pubDate>
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      <description>&lt;p&gt;Recently I&amp;rsquo;ve had the opportunity to dig into Apache Spark, thanks to some training from Brian Bloechle from Cloudera.&lt;/p&gt;
&lt;p&gt;What is spark?&lt;/p&gt;
&lt;blockquote&gt;
&lt;p&gt;Fast, flexible, and developer friendly, Apache Spark is the leading platform for large scale SQL, batch processing, stream processing, and machine learning.&lt;/p&gt;&lt;/blockquote&gt;
&lt;p&gt;&lt;a href=&#34;https://spark.apache.org/docs/2.3.0/api/java/&#34;&gt;Java&lt;/a&gt;, &lt;a href=&#34;https://spark.apache.org/docs/2.3.0/api/scala/#package&#34;&gt;Scala&lt;/a&gt;, &lt;a href=&#34;https://spark.apache.org/docs/2.3.0/api/python/pyspark.html&#34;&gt;Python&lt;/a&gt; and &lt;a href=&#34;https://spark.apache.org/docs/2.3.0/api/R/&#34;&gt;R&lt;/a&gt; are first class citizens when its comes to consuming the various Spark API&amp;rsquo;s. I&amp;rsquo;ll cover PySpark in more detail.&lt;/p&gt;
&lt;p&gt;Spark is an agnostic processing engine, that can target a number of cluster managers including Spark Standalone, Hadoop&amp;rsquo;s YARN, Apache Mesos and Kubernetes. In the context of Spark, some useful surrounding ecosystem to be aware of:&lt;/p&gt;</description>
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