Set up and use Spark to analyze data contained in Hadoop, Splunk, files on a file system, local databases, and more.

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 ...

In this fourth installment of Apache Spark article series, author Srini Penchikala discusses machine learning concept & Spark MLlib library for running predictive analytics using a sample application.

From data lakes to data swamps and back again. Data reliability, as in transactional support, is one of the pain-points keeping organizations from getting the most out of their data lakes. Delta ...

Discover how the Apache Spark streaming analytics engine can make sense of your big data.

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 ...

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 ...

Big Data consultancy Mammoth Data today published a new benchmark study that shows Google's Cloud Dataflow service outperforms the extremely popular open source data processing engine, Apache Spark.

In this fifth installment of Apache Spark article series, author Srini Penchikala discusses Spark ML package and how to use it to create and manage machine learning data pipelines.

Don’t look now but Apache Spark is about to turn 10 years old. The open source project began quietly at UC Berkeley in 2009 before emerging as an open source project in 2010. For the past five years, ...