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SAN FRANCISCO, March 06, 2018 (GLOBE NEWSWIRE) -- Databricks, provider of the leading Unified Analytics Platform and founded by the team who created Apache Spark™, today announced the availability of ...

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 ...

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 ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Databricks is giving users a set of new tools for big data processing ...

Databricks Inc. today took some serious steps toward boosting the value proposition of the popular open-source Apache Spark big data processing engine, which is facing potent new competition. The San ...

Databricks Inc., the leading commercial entity behind the Apache Spark, the open source cluster computing framework for Big Data processing, last week dropped a few hints about some of the new ...

SAN FRANCISCO, Calif., Aug. 5 — Databricks, the company founded by the creators of Apache Spark, today launched major enhancements to its cloud-based platform with the 2.0 release. The new features ...

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 ...