As the worlds of data, analytics and AI become increasingly interconnected, there’s a growing need for a platform to unify data sources, use cases and workloads. The data lakehouse removes the barriers that separate business analysts from data scientists, structured data from real-time streaming and business intelligence from AI. This opening keynote explores how the lakehouse’s simple, open, multicloud approach simplifies data management, unifies data teams and productionizes more initiatives. Using a demo-driven approach, this keynote will clearly delineate how the major data workloads of data engineering, data warehousing, data science and machine learning are orchestrated within the architecture of the Databricks Lakehouse Platform.

Join this fireside chat to discover how Swiggy, a leading food delivering company utilizes data and AI to fuel the growth from a startup to unicorn.