Dylan Jones (@dataqualitypro) on tackling the architecture dimension.
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“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.
Dylan Jones (@dataqualitypro) asks: What does a reality check look like in your business?
I'm a big proponent of Big Data. I drink the Kool Aid. I've noticed something interesting over the past year, though. The number of data-specific terms has skyrocketed. Don't believe me? Keep reading.
Jim Harris (@ocdqblog) just wants to buy a blue shirt. Why does e-commerce make it so hard?
Yes, you've heard about it, unless you've been so busy that you haven't seen magazines, internet news or even television for the last couple of years: big data. This development has exploded onto the enterprise data management scene, and like any hot new concept, the marketing is breathless and urgent. Take advantage of
David Loshin (@davidloshin) discusses names, meanings and context.