Table and column map
Represent BigQuery resources in a registry that compliance teams can use without digging through warehouse internals.
PII discovery and deletion proof for BigQuery.
Chameleon starts with BigQuery warehouse assets so data teams can map tables and columns, connect PII policy, record findings, and support deletion proof workflows.
Policy context
Connect warehouse policy, dbt metadata, and deletion strategy to the resources that hold customer data.
Proof path
Use BigQuery status and evidence as part of the broader deletion proof surface.
01 / Scope
Define the BigQuery datasets, tables, and models that belong in the customer-data compliance loop.
02 / Map
Track PII columns, classification, owner, and deletion strategy for each relevant resource.
03 / Detect
Record ghost-data findings from configured scans and route them for registration or cleanup.
04 / Report
Show BigQuery deletion status alongside SaaS receipts and proof evidence.
warehouse: BigQuery
dataset: chameleon_dev
registry: raw_users, stg_users, mart_customer_metrics
proof_status: key_destroyed
dataset: chameleon_dev
registry: raw_users, stg_users, mart_customer_metrics
proof_status: key_destroyed