Big data testing is the process of verifying and validating the functionalities in big data applications. Big data with variety, veracity, velocity, volume and value into various domains such as insurance, banking, mutual fund, security. Good expertise in domain and technology helps in doing the functional validation with application having huge data.

Traditional computing techniques do not fit for the large datasets collections as part of big data. Testing of these datasets involve various tools, techniques, and frameworks to process. Creation, storage and retrieval and analysis of large dataset collections as part of big data testing are remarkable as the volume, variety and velocity is much more.