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Member Since: November 12, 2012
Blogger
Blog Posts: 11
Posts: 229
Daniel D. Gutierrez is a Data Scientist with Los Angeles-based AMULET Analytics, a service division of AMULET Development Corp. He's been involved with data science and Big Data long before it came in vogue, so imagine his delight when the Harvard Business Review recently deemed "data scientist" as the sexiest profession for the 21st century. Previously, he taught computer science and database classes at UCLA Extension for over 15 years, and authored three computer industry books on database technology. He also served as technical editor, columnist and writer at a major computer industry monthly publication for 7 years. Follow his data science musings at @AMULETAnalytics.
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Thanks to big data, the CMO will soon be spending more on IT than the CIO.
Closing in on a cognitive computing method to annihilate bias.
Four key big data obstacles and a way to make life a little easier.
A simple, well known formula illustrates the dizzying explosion in data.
At telecommunication firms, "boring" aims should be met first, then more challenging projects.
Pig
Pig is a scripting interface to Hadoop, meaning a lack of MapReduce programming experience won't hold you back. It's also known for being able to process a large variety of different data types.
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Date: 6/20/2013
Join Big Data Republic editor Saul Sherry and Scott Clinton, senior director for Product Management and Marketing in Red Hat Inc.'s Storage Business Unit as they discuss how your organization can achieve these goals with the assistance of The Five Must-Haves of Big Data Storage.
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Data security is precious enough when it's sitting in your office, so what's the best way to maintain security standards once you migrate to the cloud?
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