Date: Wednesday, June 25, 2025
Time: 9:00 AM – 11:30 AM PST
Location: Virtual

Important:

Please register for the event using the link below to receive event access details. Marking RSVP on the community page alone will not register you for the event.
Register Here

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 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.

What 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 code completion, automated dashboard creation, and natural language querying via AI/BI Genie to increase productivity and scale self-service analytics

This interactive workshop is led by Databricks instructors and includes a guided hands-on lab and live Q&A.

Agenda:

• 9:00 AM – Welcome and Introduction
• 9:05 AM – Product Overview
• 9:30 AM – Guided Hands-On Lab
• 11:00 AM – Live Q&A
• 11:30 AM – Conclusion

Once you’ve registered, feel free to mark your RSVP on this post to let others know you’re attending.

We look forward to seeing you there!