Research conducted to explore the importance and value of Big data In today's world. Its sources, features, and challenges. Big Data is used by many companies and organizations, for analysis purpose, utilizing their personal as well as organizational benefits, profits and achieving goals.

It is not easy to process this data using data processing applications which are traditional. There are challenges like analysis, search, duration, exchange of data, storage of data, visualization, and privacy and security violations. The large database is in trend due to the large information derived by analysis of large corelevant data set, as and when they compared with different smaller sets with the same total amount of data, allowing relationships to be found in "spotting business trends, to prevent diseases, controlling crime and so on." It is tough to process Big data using specifically the co-relational database sets and management systems as well as desktop statistics and visualization packages, instead of that requiring "parallel software executing on tens, few, or even thousands of servers". So Big data generally includes database with sizes which are beyond the ability of generally used software techniques to capture, cure, manage, and processing of data in the tolerable specified time. In Big data "size" is a continuously moving goal, as it is changing from a some dozen terabytes to many petabytes of data.

The paper concluded that the Hadoop can resolve the problem of Big Data and will be able to overcome the future challenges. The paper also concluded that Big Data should be handled carefully. Because of its scale, diversity, and complexity, and any misusing of such information (Big Data) will cause customers loss part of trust and faith in organizations.