Maintaining an Effective Quality Cycle in Your Data Lake


Maintaining an Effective Quality Cycle in Your Data Lake

Paul Barth, PhD, CEO and founder, Podium Data, discusses how to create a “virtuous cycle” in which the quality of a data lake continually improves the longer it is used, and how data lake management platforms make this cycle possible.


Data lakes transform enterprise decision making by putting far more data at the hands of far more users far more quickly than ever before. Just as important as this faster data access is how data lakes can also improve the quality of the data they make available to analysts. Implemented properly, data lakes allow business users to continually cleanse bad data, and to share their insights about the data through tags, metadata and the creation of new data sets.


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