Apache Spark and Apache Hadoop are both popular, open-source data science tools offered by the Apache Software Foundation. Developed and supported by the community, they continue to grow in popularity ...

The first Spark Summit East conference concluded yesterday, just a month after Apache Spark practically stole the show at the Strata+Hadoop World conference, reinvigorating the debate about where the ...

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 ...

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 ...

There is a lot of confusion around about Spark and Hadoop, but Matthew Hunt, head of Big Data at Bloomberg LP, thinks this is only due to a lack of understanding. In an interview at Spark Summit East ...

Forbes contributors publish independent expert analyses and insights. Marco Chiappetta is a technologist who covers semiconductors and AI. Rackspace made some noise yesterday at the Strata + Hadoop ...

Big Data initiatives can be found in organizations of all sizes. When smaller enterprises begin their projects, they often discover that Apache Hadoop and Spark are projects that are composed of other ...

Once, Hadoop and MapReduce were nearly synonymous, but today, Spark is the framework of choice for a new wave of big data practitioners Hadoop has never been in more desperate need of a lift than now.

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 ...

June was an exciting month for Apache Spark. At Hadoop Summit San Jose, it was a frequent topic of conversation, as well as the subject of many session presentations. On June 15, IBM announced plans ...