Big Data describes large amount or large volume of structured Database, Semi structured Database and Unstructured Database which manage the whole database information of world. But Big Data is not the amount of data because it is based on the organizations, what do with the data that matters. Big Data can be analyzed for insights that lead to better decisions and strategic business moves. Big Data can be characterized by 3Vs which are more important to the Big Data, First one is the extreme volume of data, the wide variety of types of data and the velocity at which the data must be must processed. Although Big Data doesn"t refer to any specific quantity, the term is often used when speaking about petabytes and exabytes of data, much of which cannot be integrated easily. Big Data refers to a process which is used when traditional data mining and handling techniques cannot uncover the insights and meaning of the underlying data and the that data is unstructured or time sensitive or simply very large cannot be processed by relational database engines. This type of data requires a different processing approach called Big Data, which uses massive parallelism on readily-available hardware.