Make it trustworthy

Know whether the data — and the numbers you measure about the system — mean what you think.

1. 1Data ModelingWhat does one row mean, who is allowed to change that answer, and what breaks downstream when they do?
2. 2Schema Management & EvolutionWhat happens when the shape of your data changes on its own schedule, and nobody can change the readers, the writers and the old data at the same moment?
3. 3Data Quality & ValidationHow do you check that data is right, when "right" is a claim about the world and not about the bytes?
4. 4Metadata, Catalog & LineageWhat can a system prove about its data without reading the data, and how does it know that proof is still true?
5. 5Observability & OperationsWhat is the smallest description of a running system from which we can find a fault, fast enough to matter, at a cost we can still pay while the system is failing?
6. 6Measurement & Experimental MethodWhat would have to be true for this number to mean what I think it means?

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