Databricks announces Databricks Runtime 4.2 with numerous updates and added components on Spark internals, Databricks Delta and improvisions to its previous version.
The databricks runtime 4.2 is powered with Apache Spark 2.3 and recommended for its quick adoption to enjoy the upcoming GA release of Databricks Delta.
Databricks Runtime is a set of software artifacts which runs on the clusters of machines and improves the usability and performance of big data analytics.
For more details, please read the release notes officially documented by Databricks.
Databricks open sources MLflow, simplifying end-to-end Machine Learning Lifecycle
Project Hydrogen: Making Apache Spark play nice with other distributed machine learning frameworks
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