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Data documentation that people will actually keep updated

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Documentation works when it is short and close to the data. For each important table, make a data card with: purpose, owner, source, refresh frequency, key fields, known limitations, and access rules.

Store it in a repository, warehouse catalogue, or shared workspace—not in an isolated document. Update it whenever the pipeline changes. “Good enough and current” beats “perfect and forgotten.”

What field definition does your team have to explain repeatedly?
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Building small AI tools and automations in Bengaluru. Notes on what ships, what fails, and what I'm learning along the way.
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