Accelerating Adoption of Data Lake for Streaming and Machine Learning Use Cases

Discover how Doordash and Databricks collaborated to accelerate the adoption of Databricks for machine learning and streaming use cases in this 28-minute conference talk. Learn about the tools and Databricks native features that can streamline the adoption process, including the Databricks Migration Diagnostics Tool, Delta Lake object builder, Apache Spark™ SQL translator, Delta Lake validation and reconciliation tool, and Databricks Airflow dag migration tool. Gain insights into improving operational efficiency and enabling automation to ensure successful platform adoption. Explore the benefits of using Delta and Spark compute for optimized workload performance. Presented by Aydar Akhmetzyanov, Software Engineer at Doordash, and Harsha Reddy, Engineering Manager at Doordash, this talk offers valuable information for organizations on a similar journey of accelerating data lake adoption for streaming and machine learning applications.

Accelerating Adoption of Datalake for Streaming/ML Use Cases