Data Lakes: Purposes, Practices, Patterns, and Platforms

For information about our collection and use of your personal information, our privacy and security practices and your data protection rights, please see our privacy policy.

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

Please fill out the form to receive the document via email.