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 ...

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 ...

There’s been a lot of rhetoric around Apache Spark over the last few years. Back in the fall of 2014, some even suggested — only partly in jest — that the Hadoop World conference change its name to ...

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 ...

Smoothing the way to advanced and real-time analytics on Hadoop, Apache Spark is fast becoming the next big thing in big data Over the past couple of years, as Hadoop has become the dominant paradigm ...

September 2014 marked the anniversary of Edgar F. Codd’s 1969 introduction of “A Relational Model of Data for Large Shared Data Banks”, which is a compellation of research and theories that ultimately ...

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 ...

With the Hadoop Summit conference coming next week (June 3-5), it might be useful for all newbies to get up to speed with this exciting distributed computing technology. Below is a video presentation ...

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 ...