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25 Feb Cloudera Federal Forum in Tysons Corner: Amazing agenda filled with lessons learned and best practices

CTOvision

If you are into technology and government and want to find ways to enhance your ability to serve big missions you need to be at this event, 25 Feb at the Hilton McLean Tysons Corner. Big data and its effect on the transformative power of data analytics are undeniable. Enabling Business Results with Big Data.

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Join Architects, Planners, Program Managers, Data Scientists at 4th Annual Cloudera Federal Forum in DC 25 Feb

CTOvision

This popular gathering is designed to enable dialogue about business and technical strategies to leverage today’s big data platforms and applications to your advantage. Big data and its effect on the transformative power of data analytics are undeniable. Enabling Business Results with Big Data.

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Strategic Big Brain Science: NIH celebrates grand opening of John Edward Porter Neuroscience Research Center

CTOvision

Construction on the first building began in 2001 and was completed in 2004. Analysis Big Data Cyber Security DoD and IC Francis Collins Illinois Mark Kirk National Institute of Mental Health National Institutes of Health NIH Tom Harkin United States' Thomas Insel, director of the National Institute of Mental Health.

Research 111
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What is Passive DNS and how do you leverage it in research?

CTOvision

The concept was created in 2004 to help mitigate the threat of malware but is now used for that and far more use cases. Bob Gourley. Passive DNS has become one of the most powerful tools in the defenders arsenal.

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Beyond Hadoop

Kentik

Clustered computing for real-time Big Data analytics. But the current epoch of distributed computing is often traced to December of 2004, when Google researchers Jeffrey Dean and Sanjay Ghemawat presented a paper unveiling MapReduce. While the use of data cubes boosts Hadoop’s utility, it still involves compromise.

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Q&A with Greg Rahn – The changing Data Warehouse market

Cloudera

It kind of was interesting to me that there were these big internet companies in the valley running this platform or a variation thereof of, based on Google research papers. Let’s talk about big data and Apache Impala. Say, circa 2004 when I started at Oracle. So, that sounds like a long pathway to get here.

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20 Years of Flying Blind

Kentik

By 2012, everything was in the cloud and big-data had prevailed (whatever that means). I ran into Avi in 2013 and he informed me that he was going to build a data platform that could consume massive amounts of NetFlow, make it available in real-time, and provide both a UI and an API. Dan : “OK.”.

Network 40