SAN FRANCISCO, Calif., July 1 – Alteryx and Databricks today announced they are collaborating to drive the value of Apache Hadoop and Spark into the hands of everyday analysts. These companies will ...

Alteryx and Databricks plan to democratize the building of Hadoop analytics using SparkR. This is a good move at a time when even the smallest businesses are generating or consuming vast amounts of ...

Alteryx and Databricks are collaborating to make Apache Hadoop and Spark accessible for everyday analysts. These companies will become the primary committers to SparkR, a subset of the overall Spark ...

First created as part of a research project at UC Berkeley AMPLab, Spark is an open source project in the big data space, built for sophisticated analytics, speed, and ease of use. It unifies critical ...

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.

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 ...