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LHINThe most well known technology used for Big Data is Hadoop.Hadoop is an open source suite, under an apache foundation.
The Hadoop brand contains many different tools. Two of them are core parts of Hadoop:Hadoop Distributed File System (HDFS) is a virtual file system that looks like any other file system except than when you move a file on HDFS, this file is split into many small files, each of those files is replicated and stored on (usually, may be customized) 3 servers for fault tolerance constraints.
Enterprise practitioners believe the potential value of Big Data is significant, but many are struggling to derive maximum value from their investments in related technology. While a majority a Fortune 500 companies have Big Data deployments in production, and a significant percentage of mid-sized enterprises have proof-of-concept and pilot projects underway, We estimate that close to half have not realized the level of value anticipated at their onset.
http://www.learnhadoop.in/
In a recent survey, 46% of Big Data practitioners report that they have only realized partial value from their Big Data deployments. An unfortunate 2% declared their Big Data deployments total failures, with no value achieved.
The three compelling reasons for this struggle to achieve maximum business value form Big Data are:
� A lack of skilled Big Data practitioners.
� �Raw� and relatively immature technology.
� A lack of compelling business use case.
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