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Announcing the MLflow 1.1 Release

We’re excited to announce today the release of MLflow 1.1. In this release, we’ve focused on fleshing out the tracking component of MLflow...

How Databricks IAM Credential Passthrough Solves Common Data Authorization Problems

July 17, 2019 by Greg Owen and Silvio Fiorito in
In our first blog post , we introduced Databricks IAM Credential Passthrough as a secure, convenient way for customers to manage access to...

Announcing Databricks Runtime 5.5 and Runtime 5.5 for Machine Learning

July 16, 2019 by Yifan Cao in
Databricks is pleased to announce the release of Databricks Runtime 5.5. This release includes Apache Spark 2.4.3 along with several important improvements and...

Employee Spotlight: Meet Heather

July 15, 2019 by Heather Akuiyibo in
At Databricks, we build platforms to enable data teams to solve the world’s toughest problems and we couldn’t do that without our wonderful...

Migrating Transactional Data to a Delta Lake using AWS DMS

July 15, 2019 by Arun Pamulapati in
Try this notebook in Databricks Note: We also recommend you read Efficient Upserts into Data Lakes with Databricks Delta which explains the use...

Making the Move to Amsterdam: Bilal Aslam

July 12, 2019 by in
While we are proud of our Berkeley roots, Databricks now calls many cities around the world our home. In addition to offices in...

Employee Spotlight: Meet Vida

July 8, 2019 by Vida Ha in
At Databricks, we build platforms to enable data teams to solve the world’s toughest problems and we couldn’t do that without our wonderful...

Getting Data Ready for Data Science: On-Demand Webinar and Q&A Now Available

On June 25th, our team hosted a live webinar — Getting Data Ready for Data Science — with Prakash Chockalingam, Product Manager at...

Employee Spotlight: Meet Alexandra

June 26, 2019 by Alexandra Cong in
At Databricks, we build platforms to enable data teams to solve the world’s toughest problems and we couldn’t do that without our wonderful...

Announcing Databricks Runtime 5.4

June 20, 2019 by Todd Greenstein in
Databricks is pleased to announce the release of Databricks Runtime 5.4. This release includes Apache Spark 2.4.3 along with several important improvements and...