Most organizations run complex cloud data architectures that silo applications, users, and data. As a result, analysis is often performed on stale data, there is no single source of truth for analytics, and teams spend too much time moving and tuning data instead of using it.
Join this interactive hands-on workshop to learn how a lakehouse architecture unifies data, analytics, and AI on one open, governed platform. You’ll see how modern lakehouse architecture delivers data warehouse performance at data lake economics while helping teams eliminate legacy warehouse costs, lower TCO, and simplify operations.
Through guided exercises, you’ll discover how to work with the freshest, most complete data, apply unified governance across your data and AI assets, and enable self-service analytics with AI-powered experiences and your 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 to:
- Simplify your data warehouse with a lakehouse for analytics and AI on one platform
- Manage and monitor compute, data access, and users across your lakehouse
- Enable data teams and analysts to query directly on data using built-in AI/BI experiences or their preferred BI tools
- Reduce complexity, avoid unnecessary data movement, and support real-time insights with a more open and efficient architecture