Databricks SQL: Delivering a Production SQL Development Experience on the Data Lake
Databricks SQL (DB SQL) is a simple and powerful SQL analytics platform for creating and sharing insights at a fraction of the cost…
New Performance Improvements in Databricks SQL
Originally announced at Data + AI Summit 2020 Europe, Databricks SQL lets you operate a multi-cloud lakehouse architecture that provides data warehousing performance…
Introducing Databricks Unity Catalog: Fine-grained Governance for Data and AI on the Lakehouse
Data lake systems such as S3, ADLS, and GCS store the majority of data in today’s enterprises thanks to their scalability, low cost,…
Introducing Delta Sharing: An Open Protocol for Secure Data Sharing
Data sharing has become critical in the modern economy as enterprises look to securely exchange data with their customers, suppliers and partners. For…
New Features to Accelerate the Path to Production With the Next Generation Data Science Workspace
Today, at the Data + AI Summit Europe 2020, we shared some exciting updates on the next generation Data Science Workspace – a…
A Guide to MLflow Talks at Data + AI Summit Europe 2020
In the last two years since its release, MLflow has seen a rapid adoption among enterprises and the data science community. With over…
Introducing the Next-Generation Data Science Workspace
At today’s Spark + AI Summit 2020, we unveiled the next generation of the Databricks Data Science Workspace: An open and unified experience…
MLflow Joins the Linux Foundation to Become the Open Standard for Machine Learning Platforms
Watch Spark + AI Summit Keynotes here At today’s Spark + AI Summit 2020, we announced that MLflow is becoming a Linux Foundation…
A Guide to MLflow Talks at Spark + AI Summit 2020
It’s been 2 years since we originally launched MLflow, an open source platform for the full machine learning lifecycle, and we are thrilled…
Developing Shiny Applications in Databricks
Join our live webinar hosted by Data Science Central on March 12 to learn more We are excited to announce that you can…
