2024
A few months back Whatnot published a great post on how they are using data contracts.
I talk a lot about data quality, and how it can be improved.
Staging layers, medallion architectures, data testing, assigning data stewards, gatekeeping application changes until reviewed by a data team.
In a response to my LinkedIn post on how every data transform is technical debt, Tim Hiebenthal commented:
Data quality can only be improved at the source.
In response to my post on Medium on how every data transform is technical debt, Peter Flock commented:
Data contracts can be applied in various places, but they’re most useful at the boundaries of ownership.
It’s easy to see data contracts as something to enforce on your data producers.
Data contracts set the expectations for the data.
I had a great panel discussion with Amy Raygada and facilitated by Jean-Georges Perrin for Data Mesh Radio.