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 ...

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 ...

The fall of MapR caused a rush to judgement about the future of Hadoop. To understand what this means for data initiatives, the viability of Hadoop and data lakes must be separately examined. Data ...

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 ...

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 ...

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 ...

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 ...

If Hadoop is leaving your data lake project all wet, you may be a good candidate for an emerging architectural concept called the big data fabric. As industry experts explain, big data fabrics bring a ...

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 ...