The Practitioner's Guide to Data Profiling

The power of data profiling lies in the ability to summarize details about large data assets from many angles. This paper considers the techniques used by data profiling tools, the way the analyses are performed, and how those analyses can yield value in a number of application contexts, including reverse engineering, assessment for potential anomalies, business rule validation and validation of metadata and data models.

Sponsor: SAS