Do you really know how poor data quality affects your daily productivity? Dylan Jones explains how to measure it.
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It seems that more than a few people believe that Big Data is all hype. Leena Rao of TechCrunch writes that the term is "outdated, and consists of an overly general set of words that don’t reflect what is actually happening now with data."
Who said you can’t mandate data governance? Who says it has to be some smarmy, politically correct, incremental pitter-patter of a tiptoe into the bomb-laden lion’s den of IT super-forces? How come so many other rules are blindly followed, up and down the corporate ladder? The police have rules, don’t
David Loshin on the names of things.
Joyce Norris-Montanari on tuning queries for reasonable response time.
Dylan Jones (@dataqualitypro) on tackling the architecture dimension.
“Culture eats strategy for lunch.” –Peter Drucker One of the major emphases of Too Big to Ignore is the role of organizational culture. "Doing Big Data right" involves much more than hiring data scientists, deploying non-relational databases, storing petabytes of unstructured data and dropping terms like analytics. In many instances,
Jim Harris (@ocdqblog) discusses how business and IT can use technology to improve collaboration.
David Loshin (@davidloshin) on names, meaning and bias.
Joyce Norris-Montanari addresses the issue of whether a data modeler needs to know databases.