Big Data Testing. Our big data testing methodology complies with the international quality standards and the big data benchmarks to ensure the best results We have built exhaustive big data test cases for faster completion of the testing cycle and our accurate data quality analysis ensures the required data quality for the business users to make the right decisions.

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Big data testing is the process of data QA testing big data applications Since big data is a collection of large datasets that cannot be processed using traditional computing techniques traditional data testing methods do not apply to big data.

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• Bachelor’s degree or foreign equivalent required from an accredited institution Will also• At least 4 years of Information Technology experience• US citizens and those authorized to work in the US are encouraged to apply We are• Candidate must be located within commuting distance of Foster City CA or be willing to• 4 years of experience in Big Data Testing• Experience with Testing strategies and Test Execution.

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Big Data Testing Testing is an art of achieving quality in your software product in terms of perfection of functionality performance user experience or usability But for big data testing you need to keep your focus more on the functional.

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Functional Testing of Big Data Check whether the data collected from the source is uncorrupted and accurate Check whether the data is complete and it does not contain any duplicates Check whether the data files are stored in the correct location Check source data with the data in HDFS to make.