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IT Briefcase Exclusive Interview: The Tipping Point – When Things Changed for Cloud Computing

IT Briefcase Exclusive Interview: The Tipping Point – When Things Changed for Cloud Computing

with Shawn Moore, Solodev
In this interview, Shawn Moore,...

Driving Better Outcomes through Workforce Analytics Webcast

Driving Better Outcomes through Workforce Analytics Webcast

Find out what’s really going on in your business...

Legacy Modernization: Look to the Cloud and Open Systems

Legacy Modernization: Look to the Cloud and Open Systems

On the surface, mainframe architecture seems relatively simple: A...

Still keeping your hybrid power systems indoors?  It’s time for change.

Still keeping your hybrid power systems indoors? It’s time for change.

Mobile telecommunications network equipment is expected to work without...

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...

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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