In today’s competitive markets, big data is the key to business success. But with the complexity of multiple systems, disparate data types, countless data sources, and the sheer volume of data, testing is critical to any big data effort.

To effectively test big data systems, companies should implement test data management (TDM) practices. These practices include the use of synthetic data to cover gaps caused by using production data, as well as subsetting to create smaller, more intelligent subsets of data to provide teams with the right data. The results are increased test coverage, shorter testing times, and automated testing to ensure that the system is tested for any eventuality.

Join us to learn how you can implement TDM for big data and maximize your results.

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