On Demand
Simplify ETL Pipelines on the Databricks Lakehouse
Take a modern approach to data engineering with Delta Live Tables
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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