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Diving Into Delta Lake: Unpacking The Transaction Log

The transaction log is key to understanding Delta Lake because it is the common thread that runs through many of its most important...

AutoML on Databricks: Augmenting Data Science from Data Prep to Operationalization

August 19, 2019 by Clemens Mewald in
Thousands of data science jobs are going unfilled today as global demand for the talent greatly outstrips supply. Every day, businesses pay the...

Network performance regressions from TCP SACK vulnerability fixes

August 1, 2019 by Team Databricks in
Update on Aug 2, 2019: Added to the end explaining our kernel patch and additional details we found. On June 17, three vulnerabilities...

Announcing Databricks Runtime 5.5 with Conda (Beta)

July 24, 2019 by Yifan Cao in
Databricks is pleased to announce the release of Databricks Runtime 5.5 with Conda (Beta). We introduced Databricks Runtime 5.4 with Conda (Beta), with...

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 5.4

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...

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...

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

June 5, 2019 by Yifan Cao and Joseph Bradley in
We are excited to announce the release of Databricks Runtime 5.4 ML ( Azure | AWS ). This release includes two Public Preview...