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A Guide to Healthcare and Life Sciences Talks at Spark + AI Summit 2019

April 15, 2019 by Michael Ortega in
Data and AI are ushering in a new era of precision medicine. The scale of the cloud, combined with advancements in machine learning...

A Guide to Financial Services Talks at Spark + AI Summit 2019

April 12, 2019 by Michael Ortega in
The financial services industry is transforming rapidly. Customers today demand more personalized experiences, better returns on their investments and improved protection against fraud...

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...

Announcing Databricks Runtime 5.3

April 4, 2019 by Leif Brown in
We are proud to announce the release of Databricks Runtime 5.3, which includes several new features and improvements, including: GA of Delta Time...

Databricks Runtime 5.3 ML Now Generally Available

April 3, 2019 by Yifan Cao and Hanyu Cui in
We are excited to announce the general availability (GA) of Databricks Runtime for Machine Learning, as part of the release of Databricks Runtime...

A Guide to Keynotes at Spark + AI Summit 2019

April 2, 2019 by Michael Ortega in
Over the past several years, Spark + AI Summit has become the premier event for data scientists, engineers, and Apache Spark TM enthusiasts...

Improving Data Management and Analytics in the Federal Government

March 29, 2019 by Michael Ortega in
From Static Data Warehouse to Scalable Insights and AI On-Demand for the Public Sector Government agencies today are dealing with a wider variety...

Data Engineering Light: Expanding Choice for Production Workloads

March 26, 2019 by Singh Garewal in
Adding a Lower Tier, Lower Price Option Since its inception a guiding principle for Databricks has been the unification of data science and...

Introducing Databricks AWS IAM Credential Passthrough

March 26, 2019 by Silvio Fiorito and Greg Owen in
As more and more analytics move to the cloud, customers are faced with the challenge of how to control which users have access...

Azure Databricks – Bring Your Own VNET

March 20, 2019 by Abhinav Garg and Anna Shrestinian in
Azure Databricks Unified Analytics Platform is the result of a joint product/engineering effort between Databricks and Microsoft. It’s available as a managed first-party...