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 ...

In this special guest feature, Khushbu Shah, Asst. Manager – Technical Content, at DeZyre highlights how Hadoop and Spark enterprise adoption is gaining prominence to drive business value by getting ...

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 ...

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 ...

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 ...

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 ...

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 ...