Originally created at U.C. Berkeley’s AMPLab in 2009, Apache Spark is a “lightning-fast unified analytics engine” designed for large-scale data processing. It works with cluster computing platforms ...

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 ...

Spark Summit East is bringing together some of the biggest players in Big Data and analytics, and one of the main topics revolves around Spark versus Hadoop. Dave Vellante and George Gilbert, cohosts ...

The Apache Spark Big Data processing framework will account for more than a third of all Big Data spending by 2022, according to new research by Wikibon. Wikibon Big Data analyst George Gilbert’s ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

IBM today announced support for the open source Apache Spark project, giving another boost to this increasingly popular in-memory data processing framework. Spark both complements and — in some cases ...

Microsoft today announced that it is making a serious commitment to the open source Apache Spark cluster computing framework. After dipping its toes into the Spark ecosystem last year, the company ...

AtScale, a maker of big data reporting tools, has published speed tests on the latest versions of the top four big data SQL engines. Conclusion: Time to upgrade! Today AtScale released its Q4 ...

Microsoft is upping its commitment to the open-source Apache Spark big-data processing engine. At this week's Spark Summit in San Francisco, Microsoft officials will be talking up Microsoft's support ...

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 ...