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		<title>What are the features of Apache HBase ?</title>
		<link>https://www.wikitechy.com/interview-questions/big-data/what-are-the-features-of-apache-hbase/</link>
					<comments>https://www.wikitechy.com/interview-questions/big-data/what-are-the-features-of-apache-hbase/#respond</comments>
		
		<dc:creator><![CDATA[Editor]]></dc:creator>
		<pubDate>Mon, 12 Jul 2021 19:23:16 +0000</pubDate>
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					<description><![CDATA[Answer : Linear and modular scalability...]]></description>
										<content:encoded><![CDATA[<div class="TextHeading">
<div class="hddn">
<h2 id="what-are-the-features-of-apache-hbase" class="color-pink" style="text-align: justify;">What are the features of Apache HBase ?</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/hbase/what-are-the-features-of-apache-hbase.png" alt="What are the features of Apache HBase" /></div>
</div>
<p style="text-align: justify;" align="center">What are the features of Apache HBase</p>
<div class="Content" style="text-align: justify;">
<div class="hddn">
<ul>
<li style="list-style-type: none;">
<ul>
<li>Linear and modular<b> scalability.</b></li>
<li>Strictly consistent <b>reads and writes.</b></li>
<li>Automatic and configurable <b>sharding of tables.</b></li>
<li><b>Automatic failover</b> support between RegionServers.</li>
</ul>
</li>
</ul>
<div class="ImageContent">
<div class="hddn"><img fetchpriority="high" decoding="async" class="aligncenter size-medium" src="https://cdn.wikitechy.com/interview-questions/apache-pig/hbase-layout.png" alt="Hbase Layout" width="550" height="397" /></div>
</div>
</div>
</div>
<div class="Content">
<div class="hddn">
<ul style="text-align: justify;">
<li style="list-style-type: none;">
<ul>
<li><b>Convenient base classes</b> for backing <a href="https://www.wikitechy.com/tutorials/hive/hive-mapreduce-hadoop-mapreduce" target="_blank" rel="noopener">Hadoop MapReduce</a> jobs with Apache <a href="https://www.wikitechy.com/tutorials/sqoop/sqoop-import-to-hbase" target="_blank" rel="noopener">HBase</a> tables.</li>
<li><b>Easy to use Java API</b> for client access.</li>
<li><b>Block cache</b> and <b>Bloom Filters</b> for real-time queries.</li>
<li><b>Query predicate</b> push down via server side Filters.</li>
<li>Thrift gateway and an REST-ful Web service that supports <a href="https://www.wikitechy.com/tutorials/xml/" target="_blank" rel="noopener">XML</a>, Protobuf, and binary data encoding options.</li>
</ul>
</li>
</ul>
<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/hbase/how-to-use-apache-hbase-rest-interface.png" alt="How to use Apache HBase REST Interface " /></div>
</div>
<p style="text-align: justify;" align="center">How to use Apache HBase REST Interface</p>
<ul>
<li style="text-align: justify;">Extensible JRuby-based (JIRB) shell.</li>
<li style="text-align: justify;">Support for exporting metrics via the <b>Hadoop metrics</b> subsystem to files or Ganglia; or via JMX.</li>
</ul>
</div>
</div>
]]></content:encoded>
					
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			</item>
		<item>
		<title>What is Hbase used for, and what are the benefits that it provides over Pig and Hive ?</title>
		<link>https://www.wikitechy.com/interview-questions/apache-pig/what-is-hbase-used-for-and-what-are-the-benefits-that-it-provides-over-pig-and-hive/</link>
					<comments>https://www.wikitechy.com/interview-questions/apache-pig/what-is-hbase-used-for-and-what-are-the-benefits-that-it-provides-over-pig-and-hive/#respond</comments>
		
		<dc:creator><![CDATA[Editor]]></dc:creator>
		<pubDate>Mon, 12 Jul 2021 07:58:18 +0000</pubDate>
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					<description><![CDATA[Answer:HBASE will not replace Map Reduce. It is scalable distributed database....]]></description>
										<content:encoded><![CDATA[<div class="row">
<div class="col-sm-12">
<div class="TextHeading">
<div class="hddn">
<h2 id="hbase-uses" class="color-green" style="text-align: justify;">Hbase uses</h2>
</div>
</div>
<div class="Content" style="text-align: justify;">
<div class="hddn">
<ul>
<li>HBASE will not replace Map Reduce. It is scalable distributed database.</li>
<li>Hbase processing data will act as Map Reduce.</li>
<li>The Hadoop database is define Apache HBase.</li>
<li>HBase is a sub-project of the Apache Hadoop project and is used to provide real-time read and write access to big data.</li>
<li>Hbase is a Bigtable clone.</li>
<li>Hbase is a open source.</li>
<li>Hbase called as Cascading connector.</li>
</ul>
</div>
</div>
<div class="text-center row" style="text-align: justify;">
<div class="col-sm-12">
<div id="bsa-zone_1590522538159-8_123456"></div>
</div>
</div>
<div class="ImageContent" style="text-align: justify;">
<div class="hddn"></div>
<div><img decoding="async" class="aligncenter size-medium" src="https://cdn.wikitechy.com/interview-questions/apache-pig/hbase-layout.png" width="550" height="397" /></div>
</div>
<div class="TextHeading" style="text-align: justify;">
<div class="hddn">
<h2 id="what-are-the-features-that-it-provides-over-pig-and-hive" class="color-green">what are the Features that it provides over Pig and Hive?</h2>
</div>
</div>
<div class="Content" style="text-align: justify;">
<div class="hddn">
<ul>
<li>Possible to create tables in Hive and store data,it can even map the user’s existing HBase tables to Hive and operate on them.</li>
<li>Hive should be used for analyzing query of data collected over a period of time.</li>
<li>Hbase has got its own set of very good Application Programming Interface(API) which could be used to push/pull the data.</li>
<li>It has a good community for the future.It developed on top if hadoop already used to integration for the Hadoop platform.</li>
<li>Hbase can be integrated with MapReduce that can do bulk operation, like indexing, analytics etc.
<ul>
<li>Distributed storage</li>
<li>Table-like in data structure</li>
<li>multi-dimensional map</li>
<li>High scalability</li>
<li>High availability</li>
<li>High performance</li>
</ul>
</li>
</ul>
</div>
</div>
<div class="ImageContent" style="text-align: justify;">
<div class="hddn"><img decoding="async" class="aligncenter size-medium" src="https://cdn.wikitechy.com/interview-questions/apache-pig/benefits-that-it-provides-over-pig-and-hive.png" width="959" height="431" /></div>
</div>
<div class="Content">
<div class="hddn">
<ul>
<li style="text-align: justify;">A distributed data store that can scale horizontally to 1,000s of commodity servers and petabytes of indexed storage.</li>
<li style="text-align: justify;">Designed to operate on top of the Hadoop distributed file system (HDFS) or Kosmos File System (KFS, aka Cloudstore) for scalability, fault tolerance, and high availability.</li>
</ul>
</div>
</div>
</div>
</div>
]]></content:encoded>
					
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