Introducing Databricks Unity Catalog: Fine-grained Governance for Data and AI on the Lakehouse
Data lake systems such as S3, ADLS, and GCS store the majority of data in today’s enterprises thanks to their scalability, low cost,…
Introducing Delta Sharing: An Open Protocol for Secure Data Sharing
Data sharing has become critical in the modern economy as enterprises look to securely exchange data with their customers, suppliers and partners. For…
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 performance…
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…
