Tag: databricks
Delta Lake finds new home at Linux Foundation
Databricks used the currently happening Spark + AI Summit Europe to announce a change in the governance of […]
What’s the point: Kong, Spring Cloud, TeamCity, Istio, and Databricks
So much news, so little time. Learn more about what has happened in the last couple of days […]
Databricks starts adding delete, update, merge capabilities to Delta Lake
Version 0.3 of Databricks’ open source project Delta Lake is now available to download, adding some APIs to […]
What’s the point: Databricks, Docker, AWS Chatbot, Azure, and GitLab
The second release of the Databricks Runtime with Conda (Beta) is out. Version 5.5 comes with a variety […]
MLfLow highlights logging and tracking in v1.1
MLflow has hit 1.1 with fleshed out logging and tracking features, and experimental support for running projects on […]
Databricks Runtime 5.5 previews Instance Pools
Databricks, the company behind open source project Apache Spark, has given its Runtime a good old polishing, buffing […]
Lots of ML models on the go? MLflow hits 1.0….
MLflow has hit v1.0, a year after the first launch of the machine learning management project and just […]
Databricks runtime family welcomes newest member, goes 5.4
Databricks has released updates to its runtimes, raising them all to v5.4, and extended its portfolio to make […]
Databricks releases its “biggest innovation to date” to make the most of muddled data lakes
Databricks, the company behind the minds that brought you the big data analytics engine Apache Spark, has open-sourced […]
What’s the point: Azure DevOps for Londoners, Front Doors for all, updates for Databricks, Elastic and Gitlab
Microsoft has brought DevOps to London for the first time. Or rather, customers can now create Azure DevOps […]