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Red Badger | All posts by davidwynne
OCDQ - Obsessive-Compulsive Data Quality (OCDQ) by Jim Harris
Since how data quality is defined has a significant impact on how data quality is perceived, measured, and managed, in this post I examine the two most prevalent perspectives on defining data quality, real-world alignment and fitness for the purpose of use , which respectively represent what I refer to as the danger of data myopia and the challenge of business relativity . Real-World Alignment: The Danger of Data Myopia Whether it’s an abstract description of real-world entities (i.e., master data) or an abstract description of real-world interactions (i.e., transaction data) among entities, data is an abstract description of reality.Václav Pech : Weblog
Continue with the data flow I can't resist sharing some more exciting details about the options GPars dataflow concurrency brings to the table. Remember the intro I posted recently about the concepts and basic usage scenarios? And the GPars to GoLang comparison post moaning about blocking threads on dataflow variable reads? Well, that was just the first part of a longer story to whet your appetite.Your Random Numbers – Getting Started with Processing and Data Visualization | blprnt.blg
I've been thinking a lot about data visualization, meaning things like the Internet version of those USA Today infographics and the data you get back from your site traffic analytics group. But data viz is not just about fancy Excel charts and animation; it's a discipline used to visualize information of any sort and it's becoming an increasingly important way to communicate with your audience. Its importance, I believe, lies in its ability to reach scale, that is, helping marketers get the biggest audience possible. Our business is all about scale and we have metrics to measure it. But scale is about more than metrics -- it's about having a cultural impact, having consumers feel they're part of something larger.

