Inside the Briefcase

As the Network Changes, Engineers Are Embracing the DevOps Model

As the Network Changes, Engineers Are Embracing the DevOps Model

Businesses that have embraced digital transformation with a clear...

The 5 Most Common Application Bottlenecks

The 5 Most Common Application Bottlenecks

Application bottlenecks can lead an otherwise functional computer or...

How Machine Learning Helps Improve the Security Industry

How Machine Learning Helps Improve the Security Industry

We’ve been moving more and more towards computerized processes...

Transformation on a Global Scale

Transformation on a Global Scale

Necessity may be the mother of invention, but it’s...

IT Briefcase Exclusive Interview: As Container Adoption Swells, So Do Security Concerns

IT Briefcase Exclusive Interview: As Container Adoption Swells, So Do Security Concerns

Fei Huang, NeuVector
In this Fresh Ink interview segment,...

High-Performance, Big Data Analytics Takes a Certain Understanding

February 22, 2012 No Comments

In a recent Enterprise Strategy Group study, we asked participants to identify the biggest drivers for deploying a new data analytics platform for big data requirements and to tell us the greatest benefits they expected to realize as a result. We found this: Organizations are looking at new data analytics platforms as a way to cut costs. But their expectations aren’t centered on completing analytics on larger datasets closer to real time. Rather, “improving business agility” won the top spot. And that is exactly what high-performance computing (HPC) and big data analytics platforms such as Hadoop and massively parallel processing (MPP) analytical databases are advertised to deliver.

Read More of Julie Lockner’s Blog Post on AllAnalytics

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