Databricks is pleased to announce the release of Databricks Runtime 5.5 with Conda (Beta). We introduced Databricks Runtime 5.4 with Conda (Beta), with...
The Databricks Developer Tools team recently completed a project to greatly speed up the pull-request (PR) validation workflows for many of our engineers...
Try this notebook in Databricks On June 20th, our team hosted a live webinar— Automated Hyperparameter Tuning, Scaling and Tracking on Databricks —with...
Databricks is pleased to announce the release of Databricks Runtime 5.5. This release includes Apache Spark 2.4.3 along with several important improvements and...