Most organizations run complex cloud data architectures that silo applications, users and data. As a result, most analysis is performed on stale data and there’s no single source of truth of data for analytics - making it difficult to scale trusted insights across teams.
Join this interactive hands-on workshop to learn how Databricks SQL enables a multicloud lakehouse architecture that delivers data warehouse performance at data lake economics — with up to 12x better price/performance than traditional cloud data warehouses. You’ll discover how data architects can unify infrastructure and governance, while data analysts and BI teams can work with the freshest, most complete data—and accelerate insights using Databricks’ native AI/BI capabilities along with their favorite BI tools.
Whether you’re building a scalable foundation or delivering insights to the business, this workshop is designed to help you modernize your analytics stack and make AI-powered BI a reality.
In this workshop, you’ll learn:
- How the Data Intelligence Platform and Databricks SQL support a unified, multicloud lakehouse architecture
- How to manage and monitor compute, data access, and users across your lakehouse using Databricks SQL
- How data teams and analysts can query directly on your data lake using the built-in SQL editor, AI/BI or their preferred BI tools.
- How to use AI-assisted features like AI-assisted code completion, automated dashboard creation and natural language querying via AI/BI Genie, to increase productivity and scale self-service analytics.
Led by Databricks instructors, this interactive live workshop will give you opportunities to practice during the hands-on lab and ask questions.