Authors : Naveen Garg, Sanjay Singla and Surender Jangra
Abstract: Big data is one of the major process nowadays. It is collection of huge amount of data which is increasing at an exceptional rate every day. Analysis of big data helps in taking decision in any business. Accuracy in analysis of big data plays an important role for any business in market. Various tools are being used to test big data. Therefore, there is need for testing of big data analytical techniques. This study proposed an efficient approach eBDTV (Efficient Big Data Testing Validation) which can be helpful in testing these big data techniques. This approach will help in testing of 4 V’s, i.e., Volume, Variety, Velocity and Veracity along with their performance. Validation of requirements and data is also required which is necessary to take decision for any organization. This study discusses the challenges of testing and their solution in order to overcome these challenges.
Naveen Garg, Sanjay Singla and Surender Jangra, 2018. An Efficient System for Validation of Big Data Techniques. Journal of Engineering and Applied Sciences, 13: 3830-3836.