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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...

The 5 Most Common Application Bottlenecks

The 5 Most Common Application Bottlenecks

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

Crunching Big Data With Big Clouds

May 24, 2012 No Comments

The cloud’s impact in the scientific world is on the rise: How researchers can use distributed computation to solve big data problems and collaborate in new ways.

Truth is in the numbers, but often hidden somewhere deep down: “Some refer to data as the fourth paradigm of science because the sheer amount of data available and the new technologies and techniques for working with it are fundamentally changing how scientists go about their research” (Quote: GigaOm)

Using the power of distributed storage and computing resources for science is increasingly common. Additionally cloud concepts open up new ways for collaboration in science. Here are some examples of new approaches and platforms.

Searching for answers with some fun
One example is Kaggle witch received major funding in 2011. “Kaggle lets companies outsource their toughest number crunching jobs to data scientists and software developers by turning them into competitions“, is how GigaOm describes what they do.
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CLOUD COMPUTING, DATA and ANALYTICS 

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