Comparative analysis on techniques for big data testing

Abstract

Big data is a big affair of discussion these days. It is usually used everywhere from newspaper to technical magazines from social media to journals. The term big data refers to complex data sets whose size is beyond the ability of traditional processing techniques within a desired span of time. Big data consists of large volume that might be petabytes or Exabyte's of data consisting of billions to trillions of records of millions of people. Testing of this huge volume of data is a big challenge. With the emergence of social media, cloud and smart phones, industries have to deal with the voluminous data. while big data provide solutions to complex business problems like analysis of huge data serves as a basis for faster and better decision making, new products and services are being developed for the customers[4]. This paper focuses on the various techniques that have been implemented.