I've been hearing the term "Hadoop" everywhere. I asked my colleague David White, ARC's analytics expert, what it was and whether it was something that supply chain executives needed to know about ...

Hadoop is great for one-time jobs and off-line batch processing, especially where the data is already in the Hadoop filesystem and will be read many times. My first example makes more sense if you ...

Now, you know the different Hadoop alternatives. Finally, let’s summarize and discuss when to choose the Apache Hadoop framework, a Hadoop distribution, or a big data suite.

In this article Monica Beckwith, starting from core Hadoop components, investigates the design of a highly available, fault tolerant Hadoop cluster, adding security and data-level isolation.

Hadoop achieves this by breaking down large datasets into smaller blocks, distributing them across a cluster of commodity hardware, and processing the data in parallel, which significantly ...

There are reasons Hadoop has maintained a grip inside some of the largest companies, even still. But that’s officially over, says Vinay Mathur, who heads up strategy at Next Pathway, a company devoted ...

Hadoop is a popular open-source distributed storage and processing framework. This primer about the framework covers commercial solutions, Hadoop on the public cloud, and why it matters for business.

Databricks makes Hadoop and Apache Spark easy to use Databricks believes that big data is a huge opportunity that is still largely untapped and wants to make it easier to deploy and use.

Hadoop might be dead, but that’s not stopping public cloud providers from using it. The latest to make a move is Microsoft Azure, which in July announced that it would begin developing its own ...

Hadoop is absolutely critical to the operations of Yahoo, executives with the company said this week at the Hadoop Summit. While the company, which spun out Hortonworks in 2011, is moving away from ...