The fundamental principles of governance – accountability, compliance, quality, and transparency – that are essential for data management have now become equally imperative...
Today we announce the release of %pip and %conda notebook magic commands to significantly simplify python environment management in Databricks Runtime for Machine...
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...
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...
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...