Apache Spark is a project designed to accelerate Hadoop and other big data applications through the use of an in-memory, clustered data engine. The Apache Foundation describes the Spark project this ...

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, ...

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 ...

For those of you just tuning in, Spark, an open source cluster computing framework, was originally developed by Matei Zaharia at U.C. Berkeley’s AMPLab in 2009, and later open-sourced and donated to ...

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.

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 ...

Databricks is receiving $60 million in a Series C funding round led by New Enterprise Associates (NEA), boosting its commitment to Apache Spark and the Databricks data platform. Also participating in ...

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 ...

This Introduction to SPARK webinar will feature Daniel Gutierrez, Managing Editor of insideAI News. In the past year, the Apache Spark distributed computing architecture has continued its upward ...