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Databricks Launches Data Sharing Initiative, Machine Learning Offering

Databricks Launches Data Sharing Initiative, Machine Learning Offering Databricks continues to expand its portfolio of big data software around the Databricks Lakehouse Platform – all designed to unify all data, analytics and AI workloads. By Rick Whiting June 01, 2021, 06:22 PM EDT Databricks has launched a project to create an open-source data sharing protocol for securely sharing data across organizations in real time, independent of the platform on which the data resides. The Delta Sharing initiative, part of Databrick’s open-source Delta Lake project, has already attracted support from a number of data providers, including NASDAQ, S&P and Factset, and leading IT vendors including Amazon Web Services, Microsoft and Google Cloud, according to Databricks.

Leaving Spark behind, Databricks enters new territory as it eyes 2021 IPO

Will its vision for unified analytics fly? Lindsay Clark Tue 1 Jun 2021 // 10:05 UTC Share Copy Databricks, the commercial company founded around the popular Apache Spark data lake, is making a strike for new class workloads and enterprise data management jobs in its make-or-break IPO year. Hawking technology news from the company’s Data + AI Summit, CEO Ali Ghodsi spoke to The Register about the new technologies. Ghodsi said the firm s efforts to combine the order and SQL queries familiar to data warehousing with the schema-less architecture of data lakes would be pushed more aggressively against established vendors in the data management, analytics and data warehousing.

Accidental Billionaires: How Seven Academics Who Didn t Want To Make A Cent Are Now Worth Billions

06:30am EDT| Accidental Billionaires: How Seven Academics Who Didn’t Want To Make A Cent Are Now Worth Billions Share to Facebook Share to Linkedin Databricks CEO Ali Ghodsi and his cofounders weren’t interested in starting a business, and even less interested in making a profit on the tech. Eight years later, at least three are billionaires. Inside a 13th-floor boardroom in downtown San Francisco, the atmosphere was tense. It was November 2015, and Databricks, a two-year-old software company started by a group of seven Berkeley researchers, was long on buzz but short on revenue. The directors awkwardly broached subjects that had been rehashed time and again. The startup had been trying to raise funds for five months, but venture capitalists were keeping it at arm’s length, wary of its paltry sales. Seeing no other option, NEA partner Pete Sonsini, an existing investor, raised his hand to save the company with an emergency $30 million injection.

Databricks Unveils Delta Sharing, the World s First Open Protocol for Real-Time, Secure Data Sharing and Collaboration Between Organizations

Fifth major open source project initiated by Databricks launches with broad support from data providers and analytical software vendors SAN FRANCISCO, May 26, 2021 /PRNewswire/ Today

Databricks Announces Plans to Unveil Highly-Anticipated Fifth Major Open Source Project at 2021 Data + AI Summit, Releases Final Keynote Lineup

Share this article Share this article Databricks co-founders Ali Ghodsi, Matei Zaharia and Reynold Xin slated to deliver keynotes on data and machine learning product innovations and the rise of the lakehouse architecture SAN FRANCISCO, May 19, 2021 /PRNewswire/ Databricks, the Data and AI company, today announced the full agenda and final lineup of featured speakers for the upcoming Data + AI Summit (formerly Spark + AI Summit), taking place virtually May 24-28. Data + AI Summit is the global event for the data community, where tens of thousands of data teams from more than 160 countries will come together to share best practices, learn from experts throughout the industry, and get a first-hand look at what s new in Databricks Lakehouse Platform. This year, the Data + AI Summit theme is

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