Government and Education Sessions You Don’t Want to Miss at Spark + AI Summit 2020
For years, the Spark + AI Summit has been the premier meeting place for organizations looking to build data analytics and AI applications...
Retail and Consumer Goods Sessions You Don’t Want to Miss at Spark + AI Summit 2020
The current economic environment is having a significant impact on the Retail and Consumer Goods sector. Rapid changes in how consumers shop is...
A Guide to MLflow Talks at Spark + AI Summit 2020
It's been 2 years since we originally launched MLflow , an open source platform for the full machine learning lifecycle, and we are...
Announcing a New Redash Connector for Databricks
We’re happy to introduce a new, open source connector with Redash , a cloud-based SQL analytics service, to make it easy to query...
Databricks Launches Global University Alliance Program
We are excited to announce the Databricks University Alliance , a global program to help students get hands-on experience using Databricks for both...
Evolving the Databricks brand
Some brands start out as, well, brands. A lot of work goes into the concept and painting the picture before the business is...
New study: Databricks delivers nearly $29 million in economic benefits and pays for itself in less than six months
A new commissioned study by Forrester Consulting on behalf of Databricks finds that Databricks customers experience revenue acceleration, improved data team productivity and...
Announcing Hackathon for Social Good
Data Teams Unite! We’re excited to announce our first-ever virtual and global hackathon, where you’ll form data teams to help tackle climate change...
Business Continuity at Databricks During COVID-19 Crisis
Dear valued customer, As COVID-19 continues to impact our daily lives, we are thinking about those affected as well as the practitioners who...
Enabling Massive Data Transformation Across Your Organization
The top four companies by market cap today (MSFT, APPL, AMZN, GOOG) are all software companies, running their businesses on data. This is...