Get cloud data lake management best practices for self-service analytics
With a cloud or hybrid data lake, you can fill it with highly diverse data from cloud and on-premises sources. You can more effectively deliver trusted, timely, and actionable data for intelligent insights. What does the data management architecture look like for this environment? How do you ingest—at scale—data that has no metadata or equivalent?
Get the “TDWI Checklist: Data Lake Management for Data Lakes” in the Cloud for the answers. In it, you’ll also learn how:
- Data lakes exchange data with other multiplatform data architectures
- Cloud data lake management solutions support traditional and emerging management best practices
- Cloud data can be repurposed for multiple use cases
Learn to architect the most effective cloud data lake, and you’ll build the foundation for all your data-driven digital transformation initiatives.
