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2016 APM Reference Guide: Application Performance Monitoring

2016 APM Reference Guide: Application Performance Monitoring

IT Briefcase Analyst Report
This product guide allows you to...

IT Briefcase Exclusive Interview: Top IoT Trends and Predictions for Organizations in 2016

IT Briefcase Exclusive Interview: Top IoT Trends and Predictions for Organizations in 2016

with Mike Martin, nfrastructure
In this interview, Mike Martin,...

Unleash the Power of Global Content

Unleash the Power of Global Content

globeYour business depends on pushing accurate and dynamic content...

Clicking Away Your Right to Privacy

Clicking Away Your Right to Privacy

Before using any standard Internet service provider for e-mail...

Top Questions to Ask Before Implementing VoIP

Top Questions to Ask Before Implementing VoIP

Thinking about a move away from traditional phone lines...

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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