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 ...

Spark has taken big data by storm. What's next for the in-memory engine of choice? Spark's primary commercial backer, Databricks, offers a clue Last week at Spark Summit East, Databricks dropped a few ...

With the Hydrolix Spark Connector, Databricks users can use the Hydrolix streaming data lake to extract deeper insights faster and cheaper from their real-time and historical log data. According to a ...

New Offering Enables Azure Databricks Customers to Quickly Operationalize Spark Data Engineering Workloads with Unprecedented Visibility and Radically Simpler Remediation of Failures and Slowdowns ...

IBM’s support for Apache Spark “throws a huge endorsement to the community and to customers as a way to telegraph what’s next,” said theCUBE cohost John Furrier. At IBM Spark, held in conjunction with ...

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.

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, making it the first vendor to ...

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, ...

You probably did not hear it here first. Spark has been making waves in big data for a while now, and 2017 has not disappointed anyone who has bet on its meteoric rise. That was a pretty safe bet ...

Databricks, the company founded by the creators of Apache Spark—the powerful open-source processing engine that provides blazingly fast and sophisticated analytics—announced today the launch of ...