Databricks’ mission is to accelerate innovation for its customers by unifying Data Science, Engineering and Business. Databricks’ founders started the Spark research project at UC Berkeley that later became Apache Spark. Databricks provides a Unified Analytics Platform powered by Apache Spark for data science teams to collaborate with data engineering and lines of business to build data products. Users achieve faster time-to-value with Databricks by creating analytic workflows that go from ETL and interactive exploration to production. The company also makes it easier for its users to focus on their data by providing a fully managed, scalable, and secure cloud infrastructure that reduces operational complexity and total cost of ownership. Databricks, venture-backed by Andreessen Horowitz, NEA and Battery Ventures, among others, has a global customer base that includes Viacom, Shell and HP. For more information, visit www.databricks.com.
Databricks Unified Analytics Platform - Harness the power of AI through a truly unified approach to data analytics powered by Apache Spark™. With Databricks UAP, your agency will unify analytics with Apache Spark, streamline analytic workflows, increase productivity of data science teams, and reduce risk.
Databricks is proud to serve as a Cloud Sponsor at the Carahsoft-ATARC Federal Cloud Marketplace Forum on Wednesday, July 24, 2019.
Join Carahsoft, in partnership with ATARC (Advance Technology Academic Research Center), at this event, bringing together the FedRAMP community from government and industry for a day of discussions and idea exchange.
Databricks is excited to participate in EDUCAUSE 2019. With the best presenters, the best content, and the best networking, the premier higher ed IT event brings together professionals and technology providers from around the world to share ideas, grow professionally, and discover solutions to today’s challenges. It’s the largest gathering of your peers…people you can relate to, learn from, and stay connected to throughout the year.
October 29, 2019
October 30, 2019
SELECT Resource_ID, Title, Vendor, Vertical, Type, DateAdded, Path, Linktype, InvisibleBit, FeaturedEnd, FeaturedBit, Description, CustomLogo, LegacyLink, Form FROM Resources WHERE Vendor = ? AND InvisibleBit = 0 ORDER BY FeaturedBit DESC, Type ASC