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...
Automated Hyperparameter Tuning, Scaling and Tracking: On-Demand Webinar and FAQs now available!
Try this notebook in Databricks On June 20th, our team hosted a live webinar— Automated Hyperparameter Tuning, Scaling and Tracking on Databricks —with...
How Databricks IAM Credential Passthrough Solves Common Data Authorization Problems
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
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
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
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
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
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...
What's new with MLflow? On-Demand Webinar and FAQs now available!
On June 6th, our team hosted a live webinar— Managing the Complete Machine Learning Lifecycle: What's new with MLflow —with Clemens Mewald, Director...