The IT industry loves its stacks. First there was the LAMP stack, then the Hadoop stack became popular. Over the past five years, something called the Modern Data Stack has taken hold in our ...

Recognizing Hadoop's potential, users are both using the existing Hadoop platform technologies and developing their own technologies to complement the Hadoop stack.

It is certainly not a foregone conclusion that Hadoop as a business is as good as Hadoop as a platform, and the whole premise of a commercial open source distribution is that it has to be a good ...

“What I found was that the Hadoop stack alone was really not a turnkey data lake and that many enterprises didn’t have the Hadoop skills or the integration capabilities to pull together all ...

Hadoop-as-a-Service (HaaS) vendor Altiscale is moving up the stack with a new service called Altiscale Insight Cloud. The offering sits atop Altiscale Data Cloud, the company's existing service ...

Looking Forward 2015 was a great year for Hadoop-related big data technologies. Apache Spark has gained significant momentum in replacing Hadoop MapReduce within the Hadoop stack, and there is no sign ...

Perhaps more importantly, the Spark stack has over a hundred different data transformation algorithms for commonly used manipulations. In many ways, Spark has a complementary capability set to Hadoop, ...

Moreover, the Hadoop stack remains unsuitable for simultaneous use by multiple users, also keeping numbers down,” concluded Heudecker, while also citing the skills shortage for the slow uptake.

Pivotal Big Data Suite is aimed at providing users with better stability, management, security, monitoring, and data processing capabilities in the Hadoop stack. This allows enterprises to offload ...