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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...

Scaling Genomic Workflows with Spark SQL BGEN and VCF Readers

June 26, 2019 by Henry Davidge in
Read Rise of the Data Lakehouse to explore why lakehouses are the data architecture of the future with the father of the data...

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...

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...

Simplifying Streaming Stock Analysis using Delta Lake and Apache Spark: On-Demand Webinar and FAQ Now Available!

June 18, 2019 by John O'Dwyer, Navin Albert and Denny Lee in
Get an early preview of O'Reilly's new ebook for the step-by-step guidance you need to start using Delta Lake. On June 13th, we...

Databricks Connect: Bringing the capabilities of hosted Apache Spark™ to applications and microservices

June 14, 2019 by Eric Liang in
In this blog post we introduce Databricks Connect , a new library that allows you to leverage native Apache Spark APIs from any...

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...