Session
Deep Dive: Why the Best Data Warehouse Is a Lakehouse
Overview
| Experience | In Person |
|---|---|
| Track | Data Warehousing |
| Industry | Enterprise Technology |
| Technologies | AI/BI, Databricks SQL |
| Skill Level | Intermediate |
As organizations accelerate AI adoption, the need for a unified platform that delivers trusted, high-quality data across the business has become critical.Join this 90-minute deep dive to learn why leading organizations are standardizing on the lakehouse architecture for data warehousing, analytics, and AI. You’ll see how modern lakehouses unify teams around a single source of truth, reduce costly data movement, simplify governance, and provide analysts, engineers, and AI practitioners with access to fresher, more complete data.We’ll explore how a lakehouse supports both BI and AI workloads on one open platform while integrating with tools like Fivetran, dbt, Tableau, and Power BI. You’ll also learn how to lower costs with serverless SQL compute, improve trust with automated lineage, eliminate silos, and modernize legacy warehouse-centric architectures with a scalable, governed foundation for analytics and AI.
Session Speakers
Esha Deshpande
/Sr. Solutions Architect
Databricks
Prashant Upadhyay
/Sr Solutions Architect
Databricks