R e search A rticle HADOOP VS BIG DATA * Regha , S. and Dr. Manimekalai , M.

Due to the advent of new technologies, devices, and communication means like social networking sites, the amount of data produced by mankind is growing rapidly every year. The amount of data produced by us from the beginning of time till 2003 was 5 billion gigaby tes. If you pile up the data in the form of disks it may fill an entire football field. The same amount was created in every two days in 2011, and in every ten minutes in 2013. This rate is still growing enormously. Though all this information produced is meaningful and can be useful when processed, it is being neglected.90% of the world’s data was generated in the last few years. Big data means really a big data, it is a collection of large datasets that cannot be processed using traditional computing tech niques. Big data is not merely a data, rather it has become a complete subject, which involves various tools, technqiues and frameworks. Hadoop is an open - source framework that allows to store and process big data in a distributed environment across cluster s of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.