Explore the data lakehouse architecture in this 25-minute keynote presentation by Arsalan Tavakoli-Shiraji, SVP of Field Engineering at Databricks. Dive into the challenges organizations face in managing massive amounts of data and learn how the data lakehouse offers a flexible, multi-cloud solution supporting all data types, teams, and use cases. Discover key concepts of the Databricks Lakehouse Platform and its applications in data engineering, analytics, data science, and machine learning. Gain insights into the Data and AI Maturity Curve, open-source trends, and multi-cloud strategies. Understand how the data lakehouse simplifies data infrastructure, addresses challenges of traditional data lakes, and incorporates features like Delta Lake, Unity Catalog, and Delta Sharing. Explore role-based experiences and industry-wide adoption of the lakehouse architecture, equipping you with knowledge to leverage data for innovation and business outcomes.