The Challenges and Solutions of Big Data Testing

The “Garbage in, garbage out” principle has even more magnitude in the case of Big Data. Estimates show a 650% growth in the volume of information that will be available over the next 5 years.

Therefore organizations need a way to clean their info or risk getting buried in meaningless, valueless strings. One in five developers highlight the quality of data as their biggest problem when building new apps, and the average company loses over $10 million due to data quality. These problems are inherited from a time when data meant only neat tables, accessible via SQL.

Author: Jasmine Morgan


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