Explore the concept of data lakehouses in this 39-minute video from Databricks. Learn why the lakehouse is emerging as the new standard for data architecture, unifying data, AI, and analytics workloads. Discover how to ingest, store, and govern business-critical data at scale for data warehousing, SQL, and BI workloads. Gain insights into success stories, use cases, and best practices from field experts. Understand how Databricks SQL can lower costs and provide instant, elastic SQL serverless compute. Find out how to empower analytics engineers and analysts to quickly find and share insights using popular BI and SQL tools. Dive into topics such as lakehouse medallion zones, dimensional modeling, data lakehouse mesh architecture, governance models, and SQL warehouse monitoring. Explore the advantages of choosing a lakehouse over traditional cloud data warehouses and learn about technical migration approaches to accelerate your transition to a modern data architecture.
Overview
Syllabus
Intro
The best data warehouse is a lakehouse
One source of truth for all your data
Centrally govern all your data with SQL
Serverless compute for Databricks SQL
Analyst Experience
Best of lakes & warehouses in the lakehouse
Use Cases
Why not use a cloud data warehouse?
Modern Data Warehousing on Databricks
Lakehouse Medallion Zones
Dimensional Modeling
Data Lakehouse Mesh Architecture in Practice
Data Lakehouse Mesh Governance Models
SQL warehouse monitoring and sizing
The best warehouse is a Lakehouse!
Why customers choose Lakehouse?
Technical Migration Approach
Accelerating Your Migration
Building your Lakehouse
Taught by
Databricks
