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Accurately Building Genomic Cohorts at Scale with Delta Lake and Spark SQL

June 19, 2019 by Frank Austin Nothaft and Karen Feng in
Get an early preview of O'Reilly's new ebook for the step-by-step guidance you need to start using Delta Lake. This is the second...

Hyperparameter Tuning with MLflow, Apache Spark MLlib and Hyperopt

Hyperparameter tuning is a common technique to optimize machine learning models based on hyperparameters, or configurations that are not learned during model training...

Announcing the MLflow 1.0 Release

MLflow is an open source platform to help manage the complete machine learning lifecycle. With MLflow, data scientists can track and share experiments...

Enhanced Hyperparameter Tuning and Optimized AWS Storage with Databricks Runtime 5.4 ML

We are excited to announce the release of Databricks Runtime 5.4 ML ( Azure | AWS ). This release includes two Public Preview...

Introducing Databricks Runtime 5.4 with Conda (Beta)

June 4, 2019 by Hossein Falaki and Yifan Cao in
We are excited to introduce a new runtime: Databricks Runtime 5.4 with Conda (Beta). This runtime uses Conda to manage Python libraries and...

Advanced Analytics with HyperLogLog Functions in Apache Spark

May 8, 2019 by Sim Simeonov in
Read Rise of the Data Lakehouse to explore why lakehouses are the data architecture of the future with the father of the data...

Efficient Databricks Deployment Automation with Terraform

Managing cloud infrastructure and provisioning resources can be a headache that DevOps engineers are all too familiar with. Even the most capable cloud...

Announcing General Availability of Managed MLflow on Databricks

Try this tutorial in Databricks MLflow is an open source platform to help manage the complete machine learning lifecycle. With MLflow, data scientists...

Koalas: Easy Transition from pandas to Apache Spark

April 24, 2019 by Tony Liu, Tim Hunter and Cyrielle Simeone in
Today at Spark + AI Summit, we announced Koalas, a new open source project that augments PySpark’s DataFrame API to make it compatible...

Managing the Complete Machine Learning Lifecycle: On-Demand Webinar now available!

April 4, 2019 by Andy Konwinski in
On March 7th, our team hosted a live webinar— Managing the Complete Machine Learning Lifecycle —with Andy Konwinski, Co-Founder and VP of Product...