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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 ...

A Spark application contains several components, all of which exist whether you’re running Spark on a single machine or across a cluster of hundreds or thousands of nodes. Each component has a ...

Enterprise software development and open source big data analytics technologies have largely existed in separate worlds. This is especially true for developers in the Microsoft .NET ecosystem. The ...

The advent of scalable analytics in the form of Hadoop and Spark seems to be moving to the end of the Technology Hype Cycle. A reasonable estimate would put the technology on the “slope of ...

One question I get asked a lot by my clients is: Should we go for Hadoop or Spark as our big data framework? Spark has overtaken Hadoop as the most active open source Big Data project. While they are ...

Apache Spark 3.0 is now here, and it’s bringing a host of enhancements across its diverse range of capabilities. The headliner is an big bump in performance for the SQL engine and better coverage of ...

For several years big data has been nearly synonymous with Hadoop, a relatively inexpensive way to store huge amounts of data on commodity servers. But recently banks have started using an alternative ...

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 ...

Google is adding another product in its range of big data services on the Google Cloud Platform today. The new Google Cloud Dataproc service, which is now in beta, sits between managing the Spark data ...

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 ...