Big Book of Data Warehousing and BI
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:
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
Provider: Databricks US | Size: 3.14 MB | Language: English