Big data is a term which is directly and indirectly related to large and complex data sets, which are complicated to handle and process. Can you expect the size of the big data dataset; it is almost a few dozen of terabytes and may increase up to pentabytes for a single data set. These types of data sets are very complicated to manage and process within the tolerable and specified time. Mr. Doug Laney an analyst from META Group describes big data as “3Vs”, which is further described as
* Volume ( data amount )
* Velocity ( in and out speed of data )
* Variety ( source and data types range)
New technologies and recent development advancements allow organization to handle and process big data with a high end processor which executes 600 million instructions per second. Almost all the major IT organizations Oracle Corporation, IBM, Microsoft, SAP, Software AG, HP, EMC and dell are investing and spending more than 15 billion dollars in analytics and data management. Revenue of big data is increasing at very high speed for every year. According to a research big data revenue is doubled for every tax year. In 2012 US government spreads 6 departments to handle big data of government sector else have to face problems. Need of big data professional is increasing day by day.
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