Hadoop Map Reduce for Managing Large Volume of Data with Utmost Ease

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<h1>Hadoop Map Reduce for Managing Large Volume of Data with Utmost Ease</h1><strong> Author: <a href='http://www.articleseen.com/profile_Victor James.aspx'>Victor James</a></strong><br /><p>With the world turning to internet services, most companies are going online for various organizational needs. This has led to generation of large volumes of data, which is usually extremely critical for the body to carry out its product research and development. In such scenarios, the biggest concerns organizations face is efficiently managing large volumes of data without having to invest a fortune; this is where Hadoop Map Reduce comes in as a remarkable solution. Quite often it becomes extremely challenging for companies to synchronize large volumes of data stored across different databases. Originally developed by Google, MapReduce is a framework aimed at simplifying management of large volumes of data with unmatched seamlessness. The Map Reduce framework is based on two basic functions, namely Map and Reduce. Hadoop map function is responsible for making the master node in a network take the problem input by the user and divide it into a number of sub-problems. These sub-problems are assigned to different nodes in the cloud for execution; thus, greatly reducing the time required for executing the query. In contrast, the Reduce function is responsible for making the master node collect all the solutions to the sub-problems distributed to other nodes, and combine the solutions of the sub-problems to formulate the solution of the original problem that was assigned. This process of dividing the query greatly reduces the time required to execute numerous commands on large volumes of data with utmost ease and accuracy. Apache, a frontrunner in its league has developed a framework inspired by the original Map Reduce framework better known as Hadoop Map Reduce. This framework can be considered an upgraded version of the original Map Reduce framework, having a number of added features and tools for impeccable data management. In a nutshell, it is safe to say that Hadoop ecosystem is an excellent solution for companies looking for apt solutions to manage large volumes of data. If you are one of the many organizations planning to get Hadoop ecosystem for efficient data management, you may use any internet search engine to find a list of the reputed companies offering MapReduce framework. However, due to the incredible rise in the demand of this framework several companies have started offering this remarkable solution. Hence, it is extremely important that you evaluate the client testimonials received by the shortlisted companies to ascertain the quality and efficacy of solutions they deliver at client end. </p><strong>About the Author:</strong><br />Victor is an experienced Content writer and publisher specialist in writing about <a rel="nofollow" href="http://www.mapreduce.org/mapreduce-fit-into-org.php">Hadoop ecosystem</a> and <a rel="nofollow" href="http://www.mapreduce.org/">Hadoop map</a>.He has done post graduation in English literature and regularly writes content for print media such as mazgines,newspapers etc.<p> Article Source: <a href='http://www.articleseen.com/Article_Hadoop-Map-Reduce-for-Managing-Large-Volume-of-Data-with-Utmost-Ease_122580.aspx'> http://www.articleseen.com/Article_Hadoop Map Reduce for Managing Large Volume of Data with Utmost Ease_122580.aspx</a></p>

Article Source : http://www.articleseen.com/Article_Hadoop Map Reduce for Managing Large Volume of Data with Utmost Ease_122580.aspx

Keywords : Hadoop map, Hadoop ecosystem,

Category : Computers : Software