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 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 ...

Databricks today announced a new big data platform called the Databricks Cloud that will allow users to leverage Apache Spark technology to build end-to-end pipelines that underlie advanced analytic ...

Today to kick off Spark Summit, Databricks announced a Serverless Platform for Apache Spark — welcome news for developers looking to reduce time spent on cluster management. The move to simplify ...

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, ...

eWEEK content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More. Databricks, the company founded by the team that created ...

Two years in the making, Apache Spark 2.0 will officially debut in a few weeks from Databricks Inc., which just released a technical preview so Big Data developers could get their hands on the "shiny ...

Spark Declarative Pipelines provides an easier way to define and execute data pipelines for both batch and streaming ETL workloads across any Apache Spark-supported data source, including cloud ...

Databricks, the commercial company created from the open source Apache Spark project, announced the release of a free Community Edition today aimed at teaching people how to use Spark — and as an ...

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 ...