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	<title>apache spark - Wikitechy</title>
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		<title>What is Shark ?</title>
		<link>https://www.wikitechy.com/interview-questions/apache-spark/what-is-shark/</link>
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		<dc:creator><![CDATA[Editor]]></dc:creator>
		<pubDate>Mon, 12 Jul 2021 16:16:52 +0000</pubDate>
				<category><![CDATA[Apache Spark]]></category>
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					<description><![CDATA[Answer : Shark is a tool, developed for people who are from...]]></description>
										<content:encoded><![CDATA[<div class="TextHeading">
<div class="hddn">
<h2 id="what-is-shark" class="color-pink" style="text-align: justify;">What is Shark ?</h2>
</div>
</div>
<div class="Content" style="text-align: justify;">
<div class="hddn">
<ul>
<li>Shark is a tool, developed for people who are from a database background &#8211; to access Scala MLib capabilities through Hive like <a href="https://www.wikitechy.com/tutorials/sql/" target="_blank" rel="noopener">SQL</a> interface.</li>
<li>Shark tool helps data users run Hive on <a href="https://forums.wikitechy.com/qa-tag/apache-spark/" target="_blank" rel="noopener">Spark</a> &#8211; offering compatibility with Hive metastore, queries and data.</li>
<li>Like Hive, Spark queries are written using a SQL-like language called HiveQL, which Spark translates into Spark Directed Acyclic Graphs (DAGs) that are executed on the Hadoop cluster.</li>
<li>More complex queries are supported through User Defined Functions (UDFs) that can be written in <a href="https://www.wikitechy.com/tutorials/java/" target="_blank" rel="noopener">Java </a>and referenced by a HiveQL query.</li>
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		<title>What is RDD ?</title>
		<link>https://www.wikitechy.com/interview-questions/apache-spark/what-is-rdd/</link>
					<comments>https://www.wikitechy.com/interview-questions/apache-spark/what-is-rdd/#respond</comments>
		
		<dc:creator><![CDATA[Editor]]></dc:creator>
		<pubDate>Mon, 12 Jul 2021 15:56:56 +0000</pubDate>
				<category><![CDATA[Apache Spark]]></category>
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		<guid isPermaLink="false">https://www.wikitechy.com/interview-questions/?p=250</guid>

					<description><![CDATA[Answer : Resilient Distributed Datasets (RDD) is a fundamental data structure...]]></description>
										<content:encoded><![CDATA[<div class="TextHeading">
<div class="hddn">
<h2 id="what-is-rdd" class="color-pink" style="text-align: justify;">What is RDD ?</h2>
</div>
</div>
<div class="Content" style="text-align: justify;">
<div class="hddn">
<ul>
<li>Resilient Distributed Datasets (RDD) is a fundamental data structure of <a href="https://forums.wikitechy.com/qa-tag/apache-spark/" target="_blank" rel="noopener">Spark</a>. It is an immutable distributed collection of objects.</li>
<li>Each dataset in RDD is divided into logical partitions, which may be computed on different nodes of the cluster.</li>
<li>Formally, an RDD is a read-only, partitioned collection of records.</li>
<li>RDDs can be created through deterministic operations on either data on stable storage or other RDDs.</li>
<li>RDD is a fault-tolerant collection of elements that can be operated in parallel.</li>
</ul>
</div>
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