Your essential guide to data warehousing on Databricks, complete with reference architecture and code samples.
Your data team deserves more than dashboards
Business leaders want immediate answers to complex questions — not another dashboard.
To turn data into insights, you need infrastructure built for it.
Databricks Lakehouse combines the open and scalable framework of a data lake with the performance, governance and SQL familiarity of a data warehouse.
For analytics teams, that means faster time-to-insight, stronger governance and AI/BI readiness without cost creep or trial and error.
This guide offers practical guidance and proven strategies for migrating to lakehouse architecture.
You’ll learn how to:
- Migrate from Teradata, Oracle, SQL Server, Snowflake or Redshift
- Apply dimensional modeling for lakehouse architecture
- Control costs and optimize performance at scale
- Govern and secure data with Unity Catalog
- Integrate with Azure, AWS, SAP, Power BI and Excel
- Extend BI with AI, from predictive insights to building dashboards and chatting with your data
