How S&P Global Leverages ESG Data to Help Customers Make Sustainable Investments
Don’t miss our Global Sustainability Leadership Forum to hear how leaders from Goldman Sachs, Grab, Gro Intelligence and Microsoft are using data and AI to build a more sustainable, inclusive and greener future. Environmental, social and governance (ESG) investing is a form of sustainable responsible investing (SRI) that considers both the financial returns and...
Databricks Named a Leader in 2021 Gartner Magic Quadrant for Data Science and Machine Learning Platforms
Today, we’re pleased to announce that Databricks has been named a Leader in the 2021 Gartner Magic Quadrant for Data Science and Machine Learning Platforms for the second year running. This recognition builds off an already momentous kickstart to the year—including our recent funding round (at a $28B valuation)—and we believe it is a testament...
Announcing General Availability (GA) of the Power BI connector for Databricks
We are excited to announce General Availability (GA) of the Microsoft Power BI connector for Databricks for Power BI Service and Power BI Desktop 2.85.681.0. Following the public preview, we have already seen strong customer adoption, so we are pleased to extend these capabilities to our entire customer base. The native Power BI connector for...
Growth-Hacking Impact: Why I’m Joining Databricks
When I look at every wave of computing — be it the advent of mobile or the Internet — there’s a core theme of their underpinnings. The power behind the most impactful technologies, though often invisible, has been robust developer platforms. These platforms spur innovation, creativity and collaboration at a truly global scale and speed...
The Hidden Value of Hadoop Migration
For years Hadoop was the default technology for big data analytics. But over time, it has fallen behind as new technologies have been introduced to provide better analytics solutions. Many organizations are looking at their Hadoop costs and trying to justify migrating to a modern cloud-based analytics platform. Databricks just released the whitepaper, “The Hidden...
Announcing the Launch of Databricks on Google Cloud
Today, we are proud to announce the availability of Databricks on Google Cloud. This jointly developed service provides a simple, open lakehouse platform for data engineering, data science, analytics, and machine learning. It brings together the Databricks capabilities customers love with the data analytics solutions and global scale available from Google Cloud. Open data platform...
Paths Crossed Again
If you are interested in working on cutting edge technical problems such as managing millions of VMs every day with top-caliber engineers like Trustin, visit our Careers page to explore open software engineer positions and other global opportunities. A Korean proverb many Koreans like myself often forget is: 옷깃만 스쳐도 인연. Merely brushing by someone...
Powering a Better Future With ESG Data and Analytics
By now, most professionals know that the future of business goes hand in hand with social responsibility, environmental stewardship and corporate ethics. It should come as no surprise, then, that Sustainability and Environmental, Social, and Governance (ESG) have become top priorities for consumers, investors and regulators alike. But creating a better future for all stakeholders...
Azure Databricks Achieves DoD Impact Level 5 (IL5) on Microsoft Azure Government
We are excited to announce that Azure Databricks has received a Provisional Authorization (PA) by the Defense Information Systems Agency (DISA) at Impact Level 5 (IL5), as published in the Department of Defense Cloud Computing Security Requirements Guide (DoD CC SRG). The authorization closely follows our FedRAMP High authorization and further validates Azure Databricks security...
How Lakehouses Solve Common Issues With Data Warehouses
Data analysts, data scientists, and artificial intelligence experts are often frustrated with the fundamental lack of high-quality, reliable and up-to-date data available for their work. Some of these frustrations are due to known drawbacks of the two-tier data architecture we see prevalent in the vast majority of Fortune 500 companies today. The open lakehouse architecture and underlying technology can dramatically improve the productivity of data teams and thus the efficiency of the businesses employing them.