Organizations around the world are gearing up for a future powered by data, cloud, and Artificial Intelligence (AI). This week at Spark AI Summit Europe, I talked about how Microsoft is committed to delivering cutting-edge innovations that help our customers navigate these technological and business shifts. The driving force behind powerful AI applications is data – and getting the most out of AI requires a modern data estate. Organizations are using their data to extract important insights to drive their businesses forward and engage their customers in ways that were simply not possible before. One such example is the Real Madrid Football Club, one of the world's top sports franchises with 500 million fans worldwide.
Prescient are the entrepreneurs who predicted data would become the new oil, like Ali Ghodsi, Andy Konwinski, Ion Stoica, Matei Zaharia, Patrick Wendell, Reynold Xin, and Scott Shenker. They're the cofounders of Databricks, a San Francisco-based company that provides a suite of enterprise-focused scalable data science and data engineering tools. Since 2013, the year Databricks opened for business, it's had no trouble attracting customers. But this week kicked into high gear the company's uninterrupted march toward market domination. Databricks this morning announced that it's closed a $400 million series F fundraising round led by Andreessen Horowitz with participation from Microsoft, Alkeon Capital Management, BlackRock, Coatue Management, Dragoneer Investment Group, Geodesic, Green Bay Ventures, New Enterprise Associates, T. Rowe Price, and Tiger Global Management.
Databricks' Unified Data Analytics Platform Combined with Tableau Desktop and Server Enables Access to More Complete and Timely Data for Business Insights SAN FRANCISCO – October 2, 2019 – Databricks, the leader in Unified Data Analytics, today announced a partnership with Tableau Software, the leading visual analytics platform, to enable data teams to run business intelligence on data lakes faster and more reliably. Data lakes are frequently the largest source of data within organizations, but user analytics directly on the data lake often suffers from poor quality data and performance challenges. The new Databricks Connector, just released in version Tableau 2019.3, is optimized for performance and leverages integration with Delta Lake, an open source storage layer that makes existing data lakes reliable at scale. Through this integration, Tableau users can now access and analyze massive datasets across the entire data lake with the most up-to-date and real-time data. "Our goal is to give data teams improved access to data no matter where it lives in the organization. Creating a stronger, better performing integration with Tableau enables teams to now run analytics on the largest set of data which usually resides in the data lake," said Michael Hoff, senior vice president of Business Development and Partners.