Session
Hands-On Workshop: Build Your Lakehouse for Unified Analytics and AI
Overview
| Experience | In Person |
|---|---|
| Track | Data Warehousing |
| Industry | Enterprise Technology |
| Technologies | AI/BI, Databricks SQL, Unity Catalog |
| Skill Level | Intermediate |
Most organizations run complex cloud data architectures that silo applications, users, and data. The result is stale analytics, duplicated systems, rising costs, and teams spending more time moving and tuning data than delivering insights.Join this interactive hands-on workshop to learn how a lakehouse architecture unifies data, analytics, and AI on a single open, governed platform. You’ll see how organizations achieve data warehouse performance with data lake flexibility while reducing legacy warehouse costs, lowering TCO, and simplifying operations.Through guided exercises, you’ll learn how to work with fresher, more complete data, apply unified governance across data and AI assets, and enable self-service analytics using AI-powered experiences and leading BI tools. You’ll also explore how to reduce data movement, support real-time insights, and modernize your analytics stack with a scalable, efficient architecture built for both BI and AI workloa
Session Speakers
Ali Sayeed
/Solutions Architect
Databricks
Prasanna Saraswathi Krishnan
/Solutions Architect
Databricks