Azure Databricks for Data Warehousing ~ Dustin Vannoy

Part 2 of a 4-part series

Azure Databricks for Data Warehousing
Description:
You've seen the feature announcements—Databricks SQL Warehouse, AI/BI Dashboards, Lakeflow—but how do they actually work together and what are the strengths of each one?

With rapid evolution and even some name changes along the way, Databricks has transformed from a big data and AI/ML platform into a data warehousing powerhouse. This session cuts through the marketing buzz to deliver a practitioner's guide to the features, options, and best practices that are key to success in building your data warehouse on Databricks. Whether you're migrating from a traditional warehouse or building greenfield, you'll learn exactly which tools to reach for and when. We'll put particular focus on SQL Warehouse and AI/BI Dashboards for serving up your data to BI users.

What we'll cover:
Intelligent Data Warehousing
Ingest and Transform with Lakeflow
Query with Databricks SQL Warehouse
Visualize with AI/BI Dashboards

By the end of this talk, you'll have a clear decision framework for when to use each component and how your team can leverage Databricks SQL Warehouse and AI/BI capabilities to build a performant, cost-effective data warehouse for your organization!