Inside the Briefcase

Reduce Your Breach Risk: File Integrity Monitoring for PCI Compliance and Data Security

Reduce Your Breach Risk: File Integrity Monitoring for PCI Compliance and Data Security

This paper discusses the importance of file integrity monitoring...

Preventing Data Corruption in the Event of an Extended Power Outage

Preventing Data Corruption in the Event of an Extended Power Outage

Despite advances in computer technology, power outages continue to...

Virtualization and Cloud Computing: Optimized Power, Cooling, and Management Maximizes Benefits

Virtualization and Cloud Computing: Optimized Power, Cooling, and Management Maximizes Benefits

IT virtualization, the engine behind cloud computing, can have...

Fundamental Principles of Network Security

Fundamental Principles of Network Security

Security incidents are rising at an alarming rate every...

Implementing Energy Efficient Data Centers

Implementing Energy Efficient Data Centers

This paper explains how to quantify the electricity savings...

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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