Databricks livestreamed this webinar on how to combine the best of data warehouses and data lakes into a simple and unified approach with Delta Lake, for improved data reliability, performance, and operations
Companies look to support both business analytics and machine learning initiatives within their organization, but often face challenges with complex operations, proprietary technologies, and unreliable data.
Join our How to Build a Cloud Data Platform technical training series, where we’ll explore how to use Apache SparkTM, Delta Lake, MLflow, and other open source technologies to construct your Cloud Data Platform with Databricks to all handle all your use cases — data engineering, data science, machine learning and business analytics. These virtual sessions will include concepts, architectures, and demos.
At the end of each session, you will be given redemption codes for additional free Databricks self-paced training and/or demo notebooks for hands-on practice.