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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 ...

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 ...

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 ...

Invented eight years ago and intensively commercialized over the past several years, Apache Spark has become a core power tool for data scientists and other developers working sophisticated projects ...

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 ...

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 ...

Databricks Lakehouse Platform combines cost-effective data storage with machine learning and data analytics, and it's available on AWS, Azure, and GCP. Could it be an affordable alternative for your ...

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What I'd like to cover here goes beyond those AI headlines, however, and involves a special nugget just for folks doing data engineering, analytics and machine learning work with Apache Spark.