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	<title>pig script execution comprises of multiple steps. identify the right sequence - Wikitechy</title>
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		<title>What is the advantages of pig in Hadoop ?</title>
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					<description><![CDATA[Answer:The development time is Decrease....]]></description>
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<div class="hddn">
<h2 id="advantages-of-pig-in-hadoop" class="color-green" style="text-align: justify;">Advantages of pig in Hadoop</h2>
</div>
</div>
<div class="Content">
<div class="hddn">
<ul style="text-align: justify;">
<li style="list-style-type: none;">
<ul>
<li>The development time is Decrease.</li>
<li>It is a collection of Rich set of operators in order to perform operations such as join, filer, sort and many more.</li>
<li>Pig Latin is similar to SQL, it becomes very easy for developers to write a Pig script.</li>
<li>The task execution in Apache Pig it gets automatically optimized , hence the programmers need to focus on semantics language.</li>
</ul>
</li>
</ul>
<div class="ImageContent" style="text-align: justify;">
<div class="hddn"></div>
<div><img fetchpriority="high" decoding="async" class="aligncenter size-medium" src="https://cdn.wikitechy.com/interview-questions/apache-pig/big-data sdd.gif" alt="Big data sdd" width="589" height="360" /></div>
</div>
<ul>
<li style="text-align: justify;">Using the existing operators, users can easily develop their own functions to process,read, and write data.</li>
<li style="text-align: justify;">Pig provide the facility for creating User Defined Functions UDF’s, we can easily create a number of programming languages such as Java and invoke them in Pig Scripts.</li>
<li style="text-align: justify;">All types of data handling are having both structured &amp; unstructured is provided by Apache Pig and the results are stored inside HDFS.</li>
<li style="text-align: justify;">You have UDFs which you want to parallellize and utilize for large amounts of data, then you are in luck. Use Pig as a base pipeline where it does the hard work and you just apply your UDF in the step that you want.</li>
</ul>
</div>
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