Apache Spark has become the de facto standard for processing data at scale, whether for querying large datasets, training machine learning models to predict future trends, or processing streaming data ...

If Databricks has its way, Apache Spark will become a pervasive choice for big data analysis, whether the work is done on the premises or in the cloud. Spark was developed in UC Berkeley's AMPLab in ...

The immensely popular open-source cluster computing framework Apache Spark has just reached version 2.0, according to an announcement by the Apache Software Foundation (ASF) yesterday. Spark’s ...

Databricks has announced the general availability of Apache Spark 2.0 on its platform, building on what the Databricks community has learned and focusing on three themes: ease of use, more speed, and ...

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, ...

We’re living in a world of big data. The current generation of line-of-business computer systems generate terabytes of data every year, tracking sales and production through CRM and ERP. It’s a flood ...