Data Lakes: Purposes, Practices, Patterns, and Platforms

TDWI surveyed top data management professionals to discover 12 priorities for a successful data lake implementation.

This TDWI report by Philip Russom analyzes the results. With the right tools, a data lake enables self-service data access and extends programs for data warehousing, analytics, data integration, and more data-driven solutions.

What you’ll find inside your complimentary copy:

•     An introduction to data lake types 
•     Benefits and challenges of data lake adoption
•     Enabling technologies and real-world use cases 
•     Top 12 priorities for success