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Last updated: April 29, 2026
BigQuery is the most-used data warehouse for Indian fintech. Security model is rich; most teams use 30%.
BigQuery is the most-used data warehouse for Indian fintech. Security model is rich; most teams use 30%.
Access patterns
- Dataset-level — coarse; user can see entire dataset or none
- Authorized views — view exposes subset to other users without granting access to underlying tables
- Row-level security — policies restrict which rows a user sees
- Column-level security — policy tags restrict which columns a user sees
- Data masking — show masked values to certain users
Common pattern: tenant isolation
CREATE ROW ACCESS POLICY tenant_isolation ON dataset.table
GRANT TO ('group:[email protected]')
FILTER USING (tenant_id = 'tenant-a');Audit
BigQuery audit logs in Cloud Logging. Track who queried what; export to Sentinel/Splunk for retention.
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