Simplify ETL Pipelines on the Databricks Lakehouse

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