A data lake becomes a data swamp in the absence of comprehensive data quality validation and does not offer a clear link to value creation. Organizations are rapidly adopting the cloud data lake as the data lake of choice, and the need for validating data in real time has become critical. Accurate, consistent, and reliable […]

The post How to Leverage Machine Learning to Identify Data Errors in a Data Lake appeared first on DATAVERSITY.