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		<title>What is the best tool to process web streaming data in Hadoop,PIG or HIVE ?</title>
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					<description><![CDATA[Answer:It contains easy programming]]></description>
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<div class="hddn">
<h2 id="best-tool-to-process-web-streaming-data-in-hadoop-or-pig-or-hive" class="color-green" style="text-align: justify;">Best tool to process web streaming data in Hadoop or PIG or HIVE :</h2>
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<div class="Content">
<div class="hddn">
<ul>
<li style="text-align: justify;">It contains easy programming.</li>
<li style="text-align: justify;">It is little to achieve parallel execution of simple, “embarrassingly parallel” data analysis tasks.</li>
<li style="text-align: justify;">For Complex tasks it comprised the multiple interrelated data transformations are explicitly encoded as data flow sequences, making them easy to write, understand, and maintain.</li>
<li style="text-align: justify;">To upgrade their execution automatically, allowing the user to focus on semantics rather than efficiency and Extensibility.</li>
<li style="text-align: justify;">A special-purpose processing to create own functions.</li>
<li style="text-align: justify;">For efficient working pig and hive can be used together.</li>
<li style="text-align: justify;">Pig is best tool for parsing (ETL) kind of job, and even pig supports UDF better than hive.</li>
<li style="text-align: justify;">It can help you to develop you own framework using pig where you can call Hive ql and map-reduce job for better functionality.</li>
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