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,…
Data lake systems such as S3, ADLS, and GCS store the majority of data in today’s enterprises thanks to their scalability, low cost,…
Data sharing has become critical in the modern economy as enterprises look to securely exchange data with their customers, suppliers and partners. For…
Today we announce the release of %pip and %conda notebook magic commands to significantly simplify python environment management in Databricks Runtime for Machine…
At Databricks, we have partnered with the team at Amazon Web Services (AWS) to provide a seamless integration with the AWS Glue Metastore.…
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…
Databricks has introduced a new feature, Library Utilities for Notebooks, as part of Databricks Runtime version 5.1. It allows you to install and…
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…
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…
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…