Live Demo: Time Travel with Databricks Delta

Time Travel is a new capability in Databricks Delta, the next-gen unified analytics engine built on top of Apache Spark. With this new feature, Databricks Delta automatically versions the big data that you store in your data lake, and you can access any historical version of that data. This temporal data management simplifies your data pipeline by making it easy to audit, roll back data in case of accidental bad writes or deletes, and reproduce experiments and reports. Your organization can finally standardize on a clean, centralized, versioned big data repository in your own cloud storage for your analytics. .

Curious to learn more about Time Travel? Join Jim Smith and the Databricks team for a Live Demo dedicated to Time Travel with Databricks Delta, on Wednesday 13th March at 11.00am GMT || 12.00pm CEST.

The live demo will cover:

• Introduction to Databricks Delta
  
• Streaming and batch ingestion
  
• Z-ordering and optimisation
• Managing changes to schemas
• Detecting fault and repairing data

 

Register now!