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
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