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 ...

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 ...

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 ...

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 ...

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 ...

Though a bit late, Google finally joined the bandwagon by launching a new service called Cloud Dataproc for processing Big Data and analytics. The platform supports real-time streaming, batch ...

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 ...

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 ...

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 ...

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 ...