Good data warehousing practices teach us to start with business requirements, get only the data we need, build it all into a highly-engineered dimensional model that links everything to everything, and lock down the data once it is created. After doing that for 20 years now, we’re pretty good at it. There is only one problem. It doesn’t come close to delivering access with the speed and agility that businesses really need from their data.  Data warehouse managers live in constant fear of the next berating over failure to deliver, the time necessary to deliver, and the costs to keep the lights on, let alone add new information.  Where did we go wrong?

We forgot about the data.

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