On Demand

Simplify ETL Pipelines on the Databricks Lakehouse

Take a modern approach to data engineering with Delta Live Tables

Available on demand

Data reliability and performance

Easily extract, transform and load both batch and streaming data with reliable production workflows on a single data platform. The Databricks Lakehouse Platform is the best place to build and run modern ETL pipelines to support real-time analytics and machine learning. Find out how in this presentation by Databricks distinguished engineer Michael Armbrust, creator of Delta Lake and Spark SQL.

You’ll learn how to:

  • Leverage lakehouse architecture for a simple, unified approach to data engineering
  • Meet your needs for real-time data streaming, with ETL tools 
  • Improve the latency, throughput, accuracy and cost-effectiveness of your data pipelines
  • Serve your entire data team with one solution