Paul Andrew plays Papers, Please! with data mesh:
The reasons for calling out what should not be declared as a data product can take many different forms and in some cases even result in anti-patterns that should be addressed as technical debt etc. Governanace and compliance has always been a key part of successful platform delivers, but who/how do we go about policing this both technically and in the context of people/process? Maybe ‘Data Product Police’ could be a thing!
Read on to see how to spot a data pretender in a field of data products.
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