Brief,Introduction,Hadoop,MapR technology A Brief Introduction to Hadoop MapReduce


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Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable{mso-style-name:"Table Normal";mso-tstyle-rowband-size:0;mso-tstyle-colband-size:0;mso-style-noshow:yes;mso-style-priority:99;mso-style-qformat:yes;mso-style-parent:"";mso-padding-alt:0in 5.4pt 0in 5.4pt;mso-para-margin-top:0in;mso-para-margin-right:0in;mso-para-margin-bottom:10.0pt;mso-para-margin-left:0in;line-height:115%;mso-pagination:widow-orphan;font-size:11.0pt;font-family:"Calibri","sans-serif";mso-ascii-font-family:Calibri;mso-ascii-theme-font:minor-latin;mso-fareast-font-family:"Times New Roman";mso-fareast-theme-font:minor-fareast;mso-hansi-font-family:Calibri;mso-hansi-theme-font:minor-latin;}This framework helps small and large enterprises to managelarge data clusters by distributing it to various small parts. It also helpsemployees to manage work better by reducing the complications that come withlarge data clusters. It is a Java-based open source platform that is created toprocess large amount of data in a distributed computing environment. The keyinnovations of Hadoop lay in its ability to store and access large amounts ofdata over hundreds of computers and collectively present that data. However, various data warehouses also store data on asimilar scale; they are extremely expensive and are not permitted for theeffective exploration of huge amount of discordant data. The use of Hadoopaddresses this limitation by keeping the data query out and by allocating itover numerous computer clusters. By distributing and dividing the overallworkload over hundreds of loosely networked computers, also known as nodes,Hadoop MapReduce can easily and effectively examine and present variouspetabytes of heterogeneous data in an absolutely meaningful format. The best part that makes Hadoop extremely popular andeffective is that although the software is completely scalable, it can easilyoperate on a single server or an absolutely small network, which makes itextremely effective for both large and small businesses. The distributedcomputing abilities of this open source software framework are actually derivedfrom two simple software frameworks including the HadoopDistributed File System (HDFS) and MapReduce. The Hadoop Distributed FileSystem (HDFS) facilitates quick data transfer that comes between variouscomputer nodes and permits overall continued operation even in the event ofnode failure. If used within an organization, this software framework anddo wonders in managing data within an organization and reduce the overall levelof complication. However, this is an open source software framework but keepingin mind its complexities, it is extremely important to go through completeHadoop training in order to use the benefits of this framework completely.There are a lot of links, tutorials, articles and guides are available onlinethat can help you get complete training and information regarding this softwaresolution. You may also search for further information online and checkhow  Hadoop can help you and your enterprise in managing better and fasterso that the overall productivity can be increased.

Brief,Introduction,Hadoop,MapR

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