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We discuss here a large class of big data problems where MapReduce can't be used - not in a straightforward way at least - and we propose a rather simple analytic, statistical solution.
MapReduce is a technique that splits big data sets into many smaller ones, process each small data set separately (but simultaneously) on…Continue
This survey is aimed at analytic practitioners. If you are looking for a career change, it will also help you identify the skills and expertise in high demand.
As a token of our appreciation, everyone who completes the survey and provides their contact details will be entered into our drawing for a chance to win an iPad…Continue
Added by Vincent Granville on January 31, 2013 at 12:00pm — No Comments
Also check the Additional Resources section at the bottom.
Our skyscraper and smaller banner ads do not show up (although our leader board banner ad usually does) if you…Continue
Added by Vincent Granville on January 23, 2013 at 5:08pm — No Comments
This seminal article highlights the dangers of reckless applications and scaling of data science techniques that have worked well for small, medium-size and large data. We illustrate the problem with flaws in big data trading, and propose solutions. Also, we believe expert data scientists are more abundant (but very different) than what hiring companies claim: read our "related articles" section at the bottom for…Continue
Will analytics help amusement park dinosaurs survive the 21st century? My recent experience at Disneyland in California makes me think that a lot of simple things can be done to improve revenue and user experience. Here are a few starting points: