The cloud-hosted environment, described by Databricks as being deployed by more than 150 firms, aims to simplify the use of the open-source cluster compute engine and cut the time spent developing, ...
Apache Spark was the pinnacle of advanced analytics just a few years ago. As the primary developer of this technology, Databricks Inc. has played a key role both in its commercial adoption, in the ...
Add Yahoo as a preferred source to see more of our stories on Google. At its Data + AI Summit, Databricks today made the requisite number of announcements one would expect from a company's flagship ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. The panelists discuss the dramatic escalation ...
Databricks has made a name for itself as one of the most popular commercial services around the Apache Spark data analytics platform (which, not coincidentally, was started by the founders of ...
Spark has taken big data by storm. What's next for the in-memory engine of choice? Spark's primary commercial backer, Databricks, offers a clue Last week at Spark Summit East, Databricks dropped a few ...
As well as access control, Databricks 2.0 now offers use of the popular R statistical programming language, support for multiple versions of Spark, and notebook versioning. Spark started in 2009 as a ...
IBM’s support for Apache Spark “throws a huge endorsement to the community and to customers as a way to telegraph what’s next,” said theCUBE cohost John Furrier. At IBM Spark, held in conjunction with ...
Databricks Inc., the primary commercial steward of the open source Apache Spark project for Big Data analytics, has upgraded its Spark-based platform, adding support for the R programming language, ...
Databricks Inc., a commercial champion of the open source Apache Spark Big Data analytics project founded by the technology's creators, introduced a new free community edition of its Spark-based data ...
At the Hadoop World conference in New York City last fall, much of the excitement was around another big data crunching technology —Apache Spark. Full house with people standing during Spark talk.
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