A data-driven approach to Environmental, Social and Governance
The future of finance goes hand in hand with social responsibility, environmental stewardship and corporate ethics. In order to stay competitive, Financial Services Institutions (FSI) are increasingly disclosing more information about their environmental, social and governance (ESG) performance. By better understanding and quantifying the sustainability and societal impact of any investment in a company or...
The data community raised a total of $101,626 to help organizations fight racial injustice. Thank you to all who donated!
Our commitment to diversity and inclusion is inherent in our company values at Databricks, but recent events and protests around the world have reminded us that there’s much more we can do to bring awareness to racial injustice and drive meaningful change. This year’s theme at Spark + AI Summit was “DATA TEAMS UNITE!” and...
Allow Simple Cluster Creation with Full Admin Control Using Cluster Policies
What is a Databricks cluster policy? A Databricks cluster policy is a template that restricts the way users interact with cluster configuration. Today, any user with cluster creation permissions is able to launch an Apache Spark™ cluster with any configuration. This leads to a few issues: Administrators are forced to choose between control and flexibility....
Databricks Announces 2020 North America Partner Awards
Databricks has a great partner ecosystem of over 450 partners that are critical to building and delivering the best data and AI solutions in the world for our joint customers. We are proud of this collaboration and know it’s the result of the mutual commitment and investment that spans on-going training, solution development, field programs...
Celebrating Pride Month at Databricks
With Pride month coming to an end, Databricks’ newest Employee Resource Group, Queeries Network, is looking back at how we celebrated. The mission of this group is to create opportunities to come together to discuss topics important to the LGBTQ+ community, network and build community. To celebrate Pride Month, our Queeries Network Employee Resource Group...
Meet the 2020 Databricks Data Team Awards Winners
On the closing day of Spark + AI Summit, Databricks CEO Ali Ghodsi recognized three exceptional data teams for how they came together to solve a tough problem-- delivering impact, innovation, and helping to make the world a better place. These are the inaugural Databricks Data Team Awards, and we were blown away by the...
Announcing GPU-aware scheduling and enhanced deep learning capabilities
Databricks is pleased to announce the release of Databricks Runtime 7.0 for Machine Learning (Runtime 7.0 ML) which provides preconfigured GPU-aware scheduling and adds enhanced deep learning capabilities for training and inference workloads. Preconfigured GPU-aware scheduling Project Hydrogen is a major Apache Spark™ initiative to bring state-of-the-art artificial intelligence (AI) and Big Data solutions together....
Announcing MLflow Model Serving on Databricks
Databricks MLflow Model Serving provides a turnkey solution to host machine learning (ML) models as REST endpoints that are updated automatically, enabling data science teams to own the end-to-end lifecycle of a real-time machine learning model from training to production. When it comes to deploying ML models, data scientists have to make a choice based...
Introducing the Next-Generation Data Science Workspace
At today’s Spark + AI Summit 2020, we unveiled the next generation of the Databricks Data Science Workspace: An open and unified experience for modern data teams. Existing solutions make data teams choose from three bad options. Giving data scientists the freedom to use any open-source tools on their laptops doesn’t provide a clear path...
MLflow Joins the Linux Foundation to Become the Open Standard for Machine Learning Platforms
Watch Spark + AI Summit Keynotes here At today's Spark + AI Summit 2020, we announced that MLflow is becoming a Linux Foundation project. Two years ago, we launched MLflow, an open source machine learning platform to let teams reliably build and productionize ML applications. Since then, we have been humbled and excited by the...
