13 Essential Data Validations for Trustworthy Data in the Cloud and Lake
About the Paper
When data moves between different data platforms, like a Data Lake or a Cloud, the IT group and the data consumers all ask the same question: is the data trustworthy? The only way to create trust is to validate every piece of data every time it moves in and out of a repository. But the challenge is that each of the 1,000’s of tables and data files within has uniquely different data validation rules. Making it very hard to identify, create and maintain 100,000’s of rules for even medium-sized repositories. Automating 13 essential data validation checks will immediately engender trust in the Cloud and Lake.