Preview the New Workspace Browser
To simplify navigating in Databricks, we are releasing a new workspace browsing experience. The new Workspace Browser makes it easier for you to...
Exciting new updates coming to Workflows in April
Databricks is excited to announce the release of several exciting new Workflows features that will simplify the way you create and launch automated...
Run SQL Queries on Databricks From Visual Studio Code
Today, we are excited to announce that users can now run SQL queries on Databricks from within Visual Studio Code via a preview...
Cost Effective and Secure Data Sharing: The Advantages of Leveraging Data Partitions for Sharing Large Datasets
In today's business landscape, secure and cost-effective data sharing is more critical than ever for organizations looking to optimize their internal and external...
Announcing General Availability of Databricks Model Serving
ML Virtual Event Enabling Production ML at Scale With Lakehouse March 14, 9 AM PDT / 4 PM GMT Register Now We are...
Databricks SQL Statement Execution API – Announcing the Public Preview
Today, we are excited to announce the public preview of the Databricks SQL Statement Execution API, available on AWS and Azure. You can...
Implementing Disaster Recovery for a Databricks Workspace
This post is a continuation of the Disaster Recovery Overview, Strategies, and Assessment and Disaster Recovery Automation and Tooling for a Databricks Workspace...
Introducing Upgrades to Databricks Notebooks - New Editor, Python Formatting, and More
Databricks Notebooks offers a simple, unified environment for anyone building Data and AI products. Today we are excited to introduce updates to the...
Work With Large Monorepos With Sparse Checkout Support in Databricks Repos
For your data-centered workloads, Databricks offers the best-in-class development experience and gives you the tools you need to adhere to code development best...
Bringing Models and Data Closer Together
We are excited to announce a new AutoML capability to quickly and easily use Feature Store data to improve model outcomes. AutoML users...