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		<title>What is the difference between Apache Hadoop and Cloudera in big data ?</title>
		<link>https://www.wikitechy.com/interview-questions/cloudera-impala/what-is-the-difference-between-apache-hadoop-and-cloudera-in-big-data/</link>
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		<dc:creator><![CDATA[Editor]]></dc:creator>
		<pubDate>Mon, 19 Jul 2021 06:38:24 +0000</pubDate>
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					<description><![CDATA[Answer : Apache Hadoop is the Hadoop distribution from Apache group...]]></description>
										<content:encoded><![CDATA[<div class="TextHeading">
<div class="hddn">
<h2 id="difference-between-apache-hadoop-and-cloudera-in-big-data" class="color-purple" style="text-align: justify;">Difference between Apache Hadoop and Cloudera in big data</h2>
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<div class="col-sm-12">
<div class="Content" style="text-align: justify;">
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<ul>
<li>Apache Hadoop is the Hadoop distribution from Apache group.</li>
<li>Cloudera Hadoop has its own supply of Hadoop which is designed on top of Apache Hadoop. so it does not have latest release of Hadoop.</li>
<li>Cloudera Hadoop contains extra tools. while Hadoop distributions like Cloudera Search, Impala, Cloudera Navigator and Cloudera Manager these are not involved in Cloudera Hadoop.</li>
<li>These additional tools turns out Cloudera Hadoop to be slightly open source and proprietary.</li>
</ul>
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</div>
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<div class="hddn"><img fetchpriority="high" decoding="async" class="aligncenter size-medium" src="https://cdn.wikitechy.com/interview-questions/cloudera impala/distrbution-hadoop.png" alt="Distribution hadoop" width="768" height="315" /></div>
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<div class="Content">
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<ul>
<li style="text-align: justify;">Apache Hadoop is very important to use to cope up with any data, no matter how large or what type or complex it is. It works like a fluid way or can say it is very faster, cheaper and reliable analytic tool than others.</li>
<li style="text-align: justify;">Even, it can easily work on unstructured, and schemaless data and people can easily ground their data into a format without reformating or putting any other efforts.</li>
<li style="text-align: justify;">Apart from this, via Apache Hadoop various programming model has been simplified to allow you to quickly write and test the software in distributed systems.</li>
<li style="text-align: justify;">This is an open-source Apache Hadoop distribution usually, focus on enterprise-class deployments.</li>
<li style="text-align: justify;">Cloudera Inc is a very popular American software company, known for providing Apache Hadoop-based software, services, and full support for the same.</li>
<li style="text-align: justify;">With Cloudera, it is said that Hadoop is just a starting to create your data management strategy, and you can easily use the same to add the security and other various functions to create an enterprise-grade foundation for your data.</li>
</ul>
</div>
</div>
</div>
</div>
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		<item>
		<title>Why do we need Data Locality in Hadoop ?</title>
		<link>https://www.wikitechy.com/interview-questions/big-data/why-do-we-need-data-locality-in-hadoop/</link>
					<comments>https://www.wikitechy.com/interview-questions/big-data/why-do-we-need-data-locality-in-hadoop/#respond</comments>
		
		<dc:creator><![CDATA[Editor]]></dc:creator>
		<pubDate>Mon, 12 Jul 2021 18:21:39 +0000</pubDate>
				<category><![CDATA[Big Data]]></category>
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		<guid isPermaLink="false">https://www.wikitechy.com/interview-questions/?p=287</guid>

					<description><![CDATA[Answer : Datasets in HDFS store as blocks in DataNodes...]]></description>
										<content:encoded><![CDATA[<div class="TextHeading">
<div class="hddn">
<h2 id="why-do-we-need-data-locality-in-hadoop" class="color-pink" style="text-align: justify;">Why do we need Data Locality in Hadoop ?</h2>
</div>
</div>
<div class="ImageContent" style="text-align: justify;">
<div class="hddn"><img decoding="async" class="img-responsive center-block aligncenter" src="https://cdn.wikitechy.com/interview-questions/hadoop/why-we-need-data-locality-in-hadoop.png" alt=" Data Locality in Hadoop " /></div>
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<ul>
<li>Datasets in <a href="https://www.wikitechy.com/tutorials/sqoop/sqoop-vs-hdfs" target="_blank" rel="noopener">HDFS</a> store as blocks in DataNodes the Hadoop cluster.</li>
<li>During the execution of a <a href="https://www.wikitechy.com/tutorials/hive/hive-mapreduce-hadoop-mapreduce" target="_blank" rel="noopener">MapReduce</a> job the individual Mapper processes the blocks (Input Splits).</li>
<li>If the data does not reside in the same node where the Mapper is executing the job, the data needs to be copied from the DataNode over the <a href="https://www.wikitechy.com/errors-and-fixes/sql/cluster-network-name-showing-netbios-status-as-the-system-cannot-find-the-file-specified" target="_blank" rel="noopener">network</a> to the mapper DataNode.</li>
</ul>
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<div class="hddn"><img decoding="async" class="img-responsive center-block aligncenter" src="https://cdn.wikitechy.com/interview-questions/hadoop/data-locality-in-hadoop.gif" alt="Datasets in HDFS - Data Locality in Hadoop" /></div>
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<ul>
<li>Now if a MapReduce job has more than 100 Mapper and each Mapper tries to copy the data from other DataNode in the cluster simultaneously, it would cause serious network congestion which is a big performance issue of the overall system.</li>
<li>Hence, data proximity to the computation is an effective and cost-effective solution which is technically termed as <a href="https://www.wikitechy.com/interview-questions/hadoop/what-are-the-features-of-hadoop/" target="_blank" rel="noopener">Data locality in Hadoop</a>. It helps to increase the overall throughput of the system.</li>
</ul>
</div>
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<div class="hddn"><img decoding="async" class="img-responsive center-block aligncenter" src="https://cdn.wikitechy.com/interview-questions/hadoop/mapreduce-job-data-locality.gif" alt=" " /></div>
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<div class="TextHeading" style="text-align: justify;">
<div class="hddn">
<h2 id="types-of-data-locality" class="color-green">Types of data locality</h2>
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<ul>
<li><b>Data local</b>
<ul>
<li>In this type data and the mapper resides on the same node. This is the closest proximity of data and the most preferred scenario.</li>
</ul>
</li>
</ul>
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<li><b>Rack Local</b>
<ul>
<li>In this type data and the mapper resides on the same node. This is the closest proximity of data and the most preferred scenario.</li>
<li>In this scenarios mapper and data reside on the same rack but on the different data nodes.</li>
</ul>
</li>
</ul>
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<li><b>Different Rack</b>
<ul>
<li>In this scenario mapper and data reside on the different racks.</li>
</ul>
</li>
</ul>
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<div class="ImageContent">
<div class="hddn"><img decoding="async" class="img-responsive center-block aligncenter" src="https://cdn.wikitechy.com/interview-questions/hadoop/types-of-data-locality.jpg" alt="Types of data locality" /></div>
</div>
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		<title>What is Big Data ?</title>
		<link>https://www.wikitechy.com/interview-questions/big-data/what-is-big-data/</link>
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		<dc:creator><![CDATA[Editor]]></dc:creator>
		<pubDate>Mon, 12 Jul 2021 16:21:38 +0000</pubDate>
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					<description><![CDATA[Answer : Big Data is a term associated with complex...]]></description>
										<content:encoded><![CDATA[<div class="TextHeading">
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<h2 id="what-is-big-data" class="color-pink" style="text-align: justify;">What is Big Data ?</h2>
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<ul>
<li>Big Data is a term associated with complex and large datasets.</li>
<li>A <a href="https://www.wikitechy.com/tutorials/sqoop/sqoop-import-the-results-of-a-query-from-a-relational-database-into-hdfs" target="_blank" rel="noopener">relational database</a> cannot handle big data, and that’s why special tools and methods are used to perform operations on a vast collection of data.</li>
<li>Big data enables companies to understand their business better and helps them derive meaningful information from the unstructured and raw data collected on a regular basis.</li>
<li>Big data also allows companies to make better business decisions backed by data.</li>
</ul>
</div>
</div>
<div class="ImageContent" style="text-align: justify;">
<div class="hddn"><img decoding="async" class="img-responsive center-block" src="https://cdn.wikitechy.com/interview-questions/big-data/what-is-big-data.gif" alt="What is Big Data" /></div>
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<div class="hddn">
<h2 id="characteristics-of-big-data" class="color-purple">Characteristics Of Big Data</h2>
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<div class="Content">
<div class="hddn">
<ul>
<li style="text-align: justify;"><b>Volume</b> &#8211; The Size of data plays a very essential role in determining value out of data.</li>
<li style="text-align: justify;"><b>Variety</b> &#8211; The next aspect of Big Data is its variety. Variety refers to heterogeneous sources and the nature of data, both structured and unstructured.</li>
<li style="text-align: justify;"><b>Velocity</b> &#8211; The term &#8216;velocity&#8217; refers to the speed of generation of data.</li>
<li style="text-align: justify;"><b>Variability</b> &#8211; The process of being able to handle and manage the data effectively.</li>
</ul>
</div>
</div>
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