Big Data Solutions

Our Big Data Testing experts oversee our client’s big data system as a whole, working to determine the quality of data tested, and then working to extract the bad data before continuing on with testing processes. This involves checking various characteristics like conformity, accuracy, duplication, consistency, validity, and data completeness. Our experts then make sure that the healthy data is pulled back into the system.

Automation Testing:

Increases effectiveness and efficiency when testing a big data system, making it easier to report results, repeat testing where necessary, and compare outcomes to expected behavior.

Data Validation/Verification:

Validates data from various sources to ensure correct data is being pulled in the system, checking the data against required business logic, and verifying data completeness.

Performance & Load Testing:

Involves testing a massive amount of data, verifying the speed in which the system consumes the data, and determines application performance.