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Agenticdata governance basics - #6
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- drop aspect types, business glossary and data profile scan - create the data quality scan via gcloud from a shipped spec (src/governance/orders_quality.yaml) instead of the console wizard - verify scan results in BigQuery's Data quality tab - keep catalog search, lineage and PII policy tags - update README governance summary and architecture label
- add a "Debug the analyst with agy" section: read the traceback, hand the diagnosis to agy, review the fix, restart the analyst - hints plus a fallback that lists data agents with their generated ids - bk-init: keep a BK_DATA_AGENT_ID set by the participant across `. bk` - mirror the debug brief and fallback in prompts.md - fix the bash fence on the analyst /goal prompt and a typo
- remove the lineage step and references (lab 4, lab 3, README) - note the IAM propagation delay before creating the scan - link Knowledge Catalog search and docs directly - lowercase single-word ids: taxonomy cymbal, policy tag pii, scans bronzeorders/silverorders; drop the optional rule names
The Cloud Shell tutorial does not start the heredoc when the command is
inserted into the terminal, so bash parsed the python lines and failed
with "syntax error near unexpected token (".
Remove the hints, the agent lookup command and the documented root cause so participants diagnose and fix the error with agy on their own.
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