What’s new with Unity Catalog at Data and AI Summit 2023
The fundamental principles of governance – accountability, compliance, quality, and transparency – that are essential for data management have now become equally imperative...
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Extending Databricks Unity Catalog with an Open Apache Hive Metastore API
Today, we are excited to announce the preview of a Hive Metastore (HMS) interface for Databricks Unity Catalog , which allows any software...
What's new with Databricks Unity Catalog at the Data+AI Summit 2022
Update: Unity Catalog is now generally available on AWS and Azure. Today we are excited to announce that Unity Catalog, a unified governance...
Introducing Delta Sharing: An Open Protocol for Secure Data Sharing
Update: Delta Sharing is now generally available on AWS and Azure. Get an early preview of O'Reilly's new ebook for the step-by-step guidance...
Simplify Python environment management on Databricks Runtime for Machine Learning using %pip and %conda
Today we announce the release of %pip and %conda notebook magic commands to significantly simplify python environment management in Databricks Runtime for Machine...
YipitData Example Highlights Benefits of Databricks integration with AWS Glue
At Databricks, we have partnered with the team at Amazon Web Services (AWS) to provide a seamless integration with the AWS Glue Metastore...
Announcing Databricks Runtime 5.4
Databricks is pleased to announce the release of Databricks Runtime 5.4. This release includes Apache Spark 2.4.3 along with several important improvements and...
Introducing Databricks Library Utilities for Notebooks
Databricks has introduced a new feature, Library Utilities for Notebooks, as part of Databricks Runtime version 5.1. It allows you to install and...
Announcing Databricks Runtime 5.0
We’re excited to announce the general availability of Databricks Runtime 5.0. Included in this release is Spark 2.4 . This release offers substantial...
Announcing Databricks Runtime 4.3
I'm pleased to announce the release of Databricks Runtime 4.3, powered by Apache Spark. We've packed this release with an assortment of new...
Announcing Databricks Runtime 4.2!
We’re excited to announce Databricks Runtime 4.2, powered by Apache Spark™. Version 4.2 includes updated Spark internals, new features, and major performance upgrades...