Plan your data lakehouse transition
Cloud modernization has become the rallying cry for organizations that want to take advantage of advanced analytics using ML and AI while they continue to support traditional data warehouse consumers.
Meanwhile, data consumers have become more sophisticated in how they use analytics and data science tools, and have raised their expectations for data democratization.
This TDWI Checklist explores how a data lakehouse approach can help you overcome the common limitations of existing data architecture strategies.
In this eBook, you’ll learn:
- The limitations of existing data architecture strategies in supporting emerging and future analytics needs
- The benefits of a data lakehouse approach in addressing these limitations
- Seven steps for transitioning to a data lakehouse