The Lakehouse pattern is emerging as the successor to the data warehouse and data lake because it combines the advantages of both — with none of the shortcomings.

What is Databricks’ vision for Lakehouse? You’re invited to a 2-part virtual event where you’ll learn what’s driving the Lakehouse pattern and how Delta Lake makes it possible with a new open standard for data reliability, quality, and performance.

Part I: Lakehouse: The New Approach to Managing Data

Available on-demand

• The Cloud Data Platform Evolution to Lakehouse
  Arsalan Tavakoli, Co-founder and SVP of Field Engineering, Databricks
• Addressing the 9 Challenges with Data Lakes
  Reynold Xin, Co-founder, and Chief Architect, Databricks
• Management and Security Made Simple
  David Meyer, SVP of Product, Databricks
• Building an enterprise-grade data and analytics platform at Dell
  Maheshwar Dattatri, Technical Director, Analytics Architect and Cloud Strategy at Dell

Part II: Leveraging Delta Lake for High-Performance SQL and Analytics

Available on-demand

• The Open Standard for Lakehouse with Delta Lake
  Burak Yavuz, Software Engineer, Databricks
• Using Delta to Add Reliability and Maximum Performance to Data Lakes
  Reynold Xin, Co-founder and Chief Architect, Databricks
• Visualize and Dashboard Your Cloud Data with Redash and SQL
  Arik Fraimovich, Engineering at Databricks and Founder of Redash
• Lakehouse for Analytics and ML at Flipp
  Guenia Izquierdo, Engineering Team Lead, Flipp Jake Greene, Staff Data Scientist at Flipp