Destination Lakehouse

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Keynote: Discover Lakehouse: Breaking Down the Data and Governance Silos

This opening keynote explores how the lakehouse’s simple, open, multi cloud approach simplifies data management, unifies data teams and productionizes more initiatives. 

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Panel Discussion: 2025 Top Data Priorities to Scale AI

Explore why and how organizations today are rethinking their data architecture to recession-proof their business and scale AI.

Fireside Chat: From Startup to Unicorn: Swiggy’s data and AI winning strategy
Discover how Swiggy, a leading food delivery company utilizes data and AI to fuel the growth from a startup to unicorn.

Destination Lakehouse: All Your Data, Analytics and AI on One Platform
Learn how the Databricks Lakehouse Platform can meet your needs for every data and analytics workload:

• Data Engineering on the Lakehouse (Download PDF Presentation)
• Data warehouse on the Lakehouse (Download PDF Presentation)
• Machine Learning on the Lakehouse (Download PDF Presentation)

Breakout Technical Sessions:

Destination Lakehouse: All Your Data, Analytics and AI on One Platform

Discover how the Databricks Lakehouse Platform can meet your needs for every data and analytics workload, with examples of real-customer applications, reference architectures, and demos to showcase how you can create modern data solutions of your own.

Unity Catalog: Journey to Unified Governance for Your Data and AI Assets on Lakehouse
Learn how data teams can use Unity Catalog to centrally manage all data and AI assets with a common governance model based on familiar ANSI SQL, ensuring much better native performance and security.

Simplifying Migrations to Lakehouse — the Databricks Way
We will touch upon some of the key elements that minimize risks and simplify the process of migrating from legacy on-premises Hadoop architectures to a modern Databricks Lakehouse in the cloud, and will walk through some of the customer journeys and use cases.

MLOps on Databricks: Unifying DataOps, ModelsOps, and DevOps On One Platform
Learn how Databricks uniquely solves operational concerns by unifying the key aspects of MLOps, namely DataOps, ModelsOps and DevOps, on a unified platform through the Lakehouse, enabling faster and more reliable production ML.

ML on the Lakehouse: Bringing Data and ML Together to Accelerate AI Use Cases
Discover the latest innovations from Databricks that can help you build and operationalize the next generation of machine learning solutions.

Delta Live Tables: Modern Software Engineering and Management for ETL
Learn how Delta Live Tables (DLT) simplifies the complexity of data transformation and ETL.

Radical Speed on the Lakehouses: Photon Under the Hood
Learn how Databricks’ next generation vectorized engine Photon outperforms existing data warehouses in SQL workloads and implements a more general execution framework for efficient processing of data with support of the Apache Spark™ API.