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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

The new Hadoop is nothing less than the Apache Foundation’s attempt to create a whole new general framework for the way big data can be stored, mined, and processed. It ought to not only further ...

At the recent Strata conference in London, Doug Cutting, Hadoop co-creator and chief architect at Hadoop distributor Cloudera, took time to talk to Computer Weekly about the state of play in big data ...