How to Build a Cloud Data Platform - Part 1: Architecture

Explore the architecture of cloud data platforms in this comprehensive webinar, the first of a four-part series. Learn to combine the strengths of data warehouses and data lakes into a unified approach using Delta Lake, enhancing data reliability, performance, and operations. Discover how to construct a Cloud Data Platform with Databricks using Apache Spark™, Delta Lake, MLflow, and other open-source technologies. Gain insights into concepts, architectures, and practical demonstrations. Receive redemption codes for additional free Databricks self-paced training and demo notebooks for hands-on practice after the session. Delve into topics such as unified analytics, Apache Spark, data lakes, Delta Lake architecture, and key features of Delta Architecture. Understand the importance of a single source of truth, the differences between transaction processing and analytics processing, and the role of enterprise support systems and data warehouses in modern data platforms.