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 ...

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 ...

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 ...

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 ...

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 ...

Hortonworks has a new vision that not only leverages data at rest in Hadoop, data streaming in Spark and data in motion in Apache NiFi, but also data at the tipping point where data itself sets the ...

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 ...

Listen in on any conversation about big data, and you’ll probably hear mention of Hadoop or Apache Spark. Here’s a brief look at what they do and how they compare. 1: They do different things. Hadoop ...

In a new survey conducted by Syncsort, 250 prominent respondents including data architects, IT managers, developers, business intelligence/data analysts, and data scientists weigh in on big data ...

I spoke briefly about the evolution of modern data apps in a previous Forbes piece on the use of big data in the cloud. Essentially, the history of big data can be divided into thread broad ...