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GCP Big Query Table

A BigQuery table is the primary storage structure inside a Google Cloud BigQuery dataset. It holds the schema definition and the actual column-orientated data that can be queried with SQL, exported, or used by downstream analytics tooling. Each table belongs to exactly one dataset and can optionally be encrypted with a customer-managed Cloud KMS key. See Google’s official documentation for full details: https://cloud.google.com/bigquery/docs/tables

Terrafrom Mappings:

  • google_bigquery_table.id

Supported Methods​

  • GET: Get GCP Big Query Table by "gcp-big-query-dataset-id|gcp-big-query-table-id"
  • LIST
  • SEARCH: Search for GCP Big Query Table by "gcp-big-query-dataset-id"

gcp-cloud-kms-crypto-key​

A BigQuery table may specify a customer-managed encryption key (CMEK) for its data; when this is configured, Overmind links the table to the corresponding Cloud KMS Crypto Key so you can trace encryption dependencies and assess key-management risks.

gcp-big-query-dataset​

Every BigQuery table is contained within a dataset. This link lets you navigate from a table to its parent dataset, making it easy to view dataset-level settings such as location, access controls, and data retention policies that may affect the table.