docs(databricks): correct three claims about data quality monitoring

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Stage 1 — unit + tofu validate

Stage 1 — Lake Formation bucket-policy + column-grant plans (tofu plan vs moto, creds-free)

Stage 1 — retention + KMS plan/apply/destroy (tofu vs moto, creds-free)

Stage 1 — state drift (fluid diff reads the apply's state vs moto, creds-free)

Stage 1 — Lake Formation tags apply + plan (tofu vs moto, creds-free)

Stage 1 — per-provider state key and its migration (tofu vs moto, creds-free)

Stage 1 — governance parity (tofu vs BigQuery stand-in and moto, creds-free)

Stage 1 — Databricks (fluid CLI + tofu vs a Unity Catalog stand-in, creds-free)

Stage 2 — docker emulators

Nightly — Databricks vs minilake (non-gating)

Stage 3 — real AWS

Stage 3 — real GCP

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