The need for information has created this disruptive nomenclature that has taken the world of data by storm.  This revolutionary term has the same bearing as “service oriented architecture”, a few years back.  Analytics has been the mainstay of business processing for decades however, the term “Big Data” has added several new dimensions to the world of data.  Big data enable companies to create new products and services, enhance existing ones, and in a lot of cases invent entirely new business models. All this has become possible, not because Big Data has the answer.  Rather, people have now started asking the right questions.  The ability to look for the answer will become the key basis for competitive growth, and in a lot of cases, a fight for survival.  So the strategic thought leaders of the organization need to aggressively build big data capabilities.

While technologies such as DBMS, Columnar Databases, database appliances, in-memory analytics, text analytics and content analytics have been long in existence, newer technologies such as Hadoop clusters, NOSQL, and MapReduce have gained popularity due to low capital cost for initial setup.  However, large scale storage systems, better data processing capabilities and limited skilled manpower is one of the major drawback when it comes to new technology developments. 


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