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 ...

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 ...

VANCOUVER, B.C., June 16 — Today Simba Technologies Inc., the worldwide leader in Big Data connectivity extended its pioneering leadership in the Spark connectivity space, and announced the release of ...

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 ...

SAN FRANCISCO, Calif., Sept. 27 — Databricks, the company founded by the creators of the Apache Spark project, today released the findings of their second annual Apache Spark survey to determine how ...

Alteryx and Databricks are collaborating to make Apache Hadoop and Spark accessible for everyday analysts. These companies will become the primary committers to SparkR, a subset of the overall Spark ...

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.

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 ...

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 ...