Data Lakes: Purposes, Practises, Patterns, and Platforms

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

This TDWI report by Philip Russom analyses the results. With the right tools, a data lake enables self-service data access and extends programmes 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

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