Data architecture can be difficult to understand – when new to the subject, it can be very hard to distinguish between hype and concept, between real things (with obscure names) and conceptual names which are actually marketingy gizmos. Over time in consulting I come back to a fish based explanation, which I synthesised in a phone call last year with someone and have finally committed to paper.