Towards an automated testing framework for big data

Abstract

Big data testing services are to deliver end to end testing methodologies which address our big data challenges. Methods: The testing module includes two types of functionalities. One is functional testing and second is non-functional testing. The functional testing should be accomplished at every stage of big data processing. Functional testing is nothing but the big data sources extraction testing, data migration testing and big data ecosystem. Testing which completes ETL test strategy, Map job reduce validation, multicore Data integration validation and data duplication check. On the other side the non-functional testing is to ensure that there are no quality defeat in data and no performance related issues. Applications: It covers the area for security testing, performance testing which solve the problem of monitoring and identify bottlenecks.