I recently talked to a client who was fixated on a hub-and-spoke solution to support his company’s analytical applications. This guy had been around the block a few times and had some pretty set paradigms about how BI should work. In the world of software and data, the one thing I’ve learned is that there are no absolutes. And there’s no such thing as a universal architecture.

The premise of a hub-and-spoke architecture is to have a data warehouse function as the clearing house for all the data a company’s applications might need. This can be a reasonable approach if data requirements are well-defined, predictable, and homogenous across the applications—and if data latency isn’t an issue.

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