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...
Introducing GlowGR: An industrial-scale, ultra-fast and sensitive method for genetic association studies
Today, we announce that we are making a new whole genome regression method available to the open source bioinformatics community as part of...
Welcoming Redash to Databricks
This morning at Spark and AI Summit, we announced that Databricks has acquired Redash, the company behind the popular open source project of...
Introducing Koalas 1.0
Koalas was first introduced last year to provide data scientists using pandas with a way to scale their existing big data workloads by...
Introducing Photon Engine
Databricks Photon is now generally available on AWS and Azure. Today, we announced Photon Engine, which ties together a 100% Apache Spark-compatible vectorized...
Introducing Apache Spark 3.0
We’re excited to announce that the Apache Spark TM 3.0.0 release is available on Databricks as part of our new Databricks Runtime 7.0...
Announcing a New Redash Connector for Databricks
We’re happy to introduce a new, open source connector with Redash , a cloud-based SQL analytics service, to make it easy to query...
Fighting Cyber Threats in the Public Sector with Scalable Analytics and AI
Join our webinar Real-time Threat Detection, Analytics and AI in the Public Sector to learn more and see a live demo. In 2019...
Azure Databricks Security Best Practices
Azure Databricks is a Unified Data Analytics Platform that is a part of the Microsoft Azure Cloud. Built upon the foundations of Delta...
Databricks Extends MLflow Model Registry with Enterprise Features
We are excited to announce new enterprise grade features for the MLflow Model Registry on Databricks. The Model Registry is now enabled by...