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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 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, ...

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 ...

SAN FRANCISCO, March 6, 2018 — Databricks, provider of the leading Unified Analytics Platform and founded by the team who created Apache Spark, today announced the availability of Apache Spark 2.3.0 ...

SAN FRANCISCO, Calif., July 27 — Databricks, the company founded by the team that created Apache Spark, today announced that Apache Spark 2.0 is generally available on its just-in-time data platform, ...

Apache Spark company Databricks has updated its cloud platform with a feature designed to let firms manage production pipelines to run Spark workloads without human intervention. The company, started ...

Scott Guthrie, Microsoft EVP of Cloud & Enterprise. Microsoft Azure customers interested in parsing large amounts of data to improve their businesses will soon be able to use Azure Databricks, ...

Databricks Inc. today agreed to acquire Tabular Technologies Inc., developer of a universal storage platform based on the Apache Iceberg standard. The move signals stepped-up efforts by Databricks to ...

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 ...