Big Data: A Practical Definition
Today's hazy definitions don't clearly illustrate big data's benefits, says one Hortonworks exec. Here's a pragmatic alternative.
Ignore Facebook At Your Peril
Facebook continues to make consumer inroads, yet the social networking site makes 'real business' uncomfortable. Time to adjust.
Don't Be Blinded By Big Data
Making decisions based on flashy macro trends while ignoring "little data" fundamentals is a recipe for failure.
Siemens: A Customer-Driven Refresh
After five years in a declining market, Siemens Enterprise Communications took the bold step of rethinking its approach to market data to focus more on customer needs.
Why Feds Are Embracing Agile
Agile development can save costs, but it also can help improve the position of the CIO and the IT organization in the agency.
5 Books For Aspiring CIOs
Engineer-turned-recruiter Steven Levy shares his reading list for IT pros who want to learn better business and communication skills -- and boost their careers in the process.
Big Data Hiring: Unorthodox Advice
Music majors, physicists and business domain experts bring fresh perspectives to an effective data science team, says Booz Allen Hamilton analytics expert.
5 Ways CIOs Can Show Social Business Mettle
You don't want to be left on the outside of social business discussions. Remove remaining signs of the IT department being an immovable force that dictates, rather than collaborates.
Big Data: Avoid 'Wanna V' Confusion
The three V's -- volume, velocity and variety -- do a fine job of defining big data. Don't be misled by the "wanna-V's:" variability, veracity, validity and value.
4 Biggest Big Data Myths
Big data will never eliminate uncertainty or answer all your questions. But treat it as a fad at your own peril.