Recap of Databricks Machine Learning announcements from Data & AI Summit
Databricks Machine Learning on the lakehouse provides end-to-end machine learning capabilities from data ingestion and training to deployment and monitoring, all in one…
Databricks Machine Learning on the lakehouse provides end-to-end machine learning capabilities from data ingestion and training to deployment and monitoring, all in one…
Making an open data marketplace Stepping into this brave new digital world we are certain that data will be a central product for…
Since we launched MLflow in 2018, MLflow has become the most popular MLOps framework, with over 11M monthly downloads! Today, teams of all…
Since the availability of Delta Live Tables (DLT) on all clouds in April (announcement), we’ve introduced new features to make development easier, enhanced…
The Data and AI Summit was chock-full of announcements for the Databricks Lakehouse platform. Among these announcements were several exciting enhancements to Databricks…
Today we are thrilled to announce a full lineup of open source connectors for Go, Node.js, Python, as well as a new CLI…
Today we are excited to announce that Unity Catalog, a unified governance solution for all data assets on the Lakehouse, will be generally…
We’re pleased to announce Databricks Marketplace, an open marketplace for exchanging data products such as datasets, notebooks, dashboards, and machine learning models. To…
We are excited to announce data cleanrooms for the Lakehouse, allowing businesses to easily collaborate with their customers and partners on any cloud…
Streaming data is a critical area of computing today. It is the basis for making quick decisions on the enormous amounts of incoming…