“The future belongs to the companies and people that turn data into products”

Some excellent links and information from O’Reilly Radar…  things are falling into place, even if it is early days and things are not straight forward (yet).

The SMAQ stack for big data:

It is now economic to conduct extensive investigation into data, or create data products that rely on complex computations. The resulting explosion in capability has forever altered the landscape of analytics and data warehousing systems, lowering the bar to entry and fostering a new generation of products, services and organizational attitudes

What is data science?: (Get the full version in PDF format here.)

We’ve all heard a lot about “big data,” but “big” is really a red herring. Oil companies, telecommunications companies, and other data-centric industries have had huge datasets for a long time. And as storage capacity continues to expand, today’s “big” is certainly tomorrow’s “medium” and next week’s “small.” The most meaningful definition I’ve heard: “big data” is when the size of the data itself becomes part of the problem. We’re discussing data problems ranging from gigabytes to petabytes of data. At some point, traditional techniques for working with data run out of steam.

Big business for big data:

It’s not just the marketers that are throwing petabytes of information at problems. Scientists, intelligence analysts, governments, meteorologists, air traffic controllers, architects, civil engineers-nearly every industry or profession is touched by the era of big data.



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