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Hadoop Technology to Analyze Big Data
Garima Rani,  Sunil Kumar
Abstract- Hadoop is not a type of database, but rather a software ecosystem that allows for massively parallel computing. It is an enabler of certain types NoSQL distributed databases (such as HBase), which can allow for data to be spread across thousands of servers with little reduction in performance. A staple of the Hadoop ecosystem is MapReduce, a computational model that basically takes intensive data processes and spreads the computation across a potentially endless number of servers (generally referred to as a Hadoop cluster). It has been a game-changer in supporting the enormous processing needs of big data; a large data procedure which might take 20 hours of processing time on a centralized relational database system, may only take 3 minutes when distributed across a large Hadoop cluster of commodity servers, all processing in parallel.
Keywords- Key words- Data management. Data visualization. Advanced analytics. SAS. Complex big data challenges.
Unique Identification Number - IJEDR1504167Page Number(s) - 949-952Pubished in - Volume 3 | Issue 4 | December 2015DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Garima Rani,  Sunil Kumar,   "Hadoop Technology to Analyze Big Data"
, International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.3, Issue 4, pp.949-952, December 2015, Available at :http://www.ijedr.org/papers/IJEDR1504167.pdf