BigQuery Storage API

Related topics

• BigQuery Storage API secures BigLake From the official documentation: “The BigQuery Storage API enforces row- and column-level governance policies on all data access to BigLake tables, including through connectors.”
• BigQuery Storage API works with Knowledge Catalog From the official documentation: “Even though the Analyst ran the same Spark code, the BigQuery Storage API intercepted the request and enforced the Knowledge Catalog policy.”
• BigQuery is an alternative to Cloud Storage From the official documentation: “The `import_result_sink` must be a Cloud Storage path or a BigQuery table.”
• BigQuery works with Cloud Storage From the official documentation: “External BigQuery data source backed by Cloud Storage”
• BigQuery works with Knowledge Catalog From the official documentation: “Some Knowledge Catalog functionalities trigger job execution using BigQuery.”
• BigLake works with Cloud Storage From the official documentation: “BigLake tables let consumers query the data stored in Cloud Storage by using the BigQuery SQL interface.”
• BigLake works with BigQuery From the official documentation: “BigLake tables let consumers query the data stored in Cloud Storage by using the BigQuery SQL interface.”
• BigQuery depends on Cloud Storage From the official documentation: “BigQuery relies on Cloud Storage for staging file data and supports reading from and writing to several other sources and Google Cloud services.”
• Cloud Storage works with Knowledge Catalog From the official documentation: “To automatically discover and build inventories of the data assets, integrate Knowledge Catalog with your storage systems, such as [BigQuery](/bigquery/docs/introduction), [Cloud Storage](/storage/docs/introduction), and [Pub/Sub](/pubsub/docs/overview).”
• Knowledge Catalog depends on Cloud Storage From the official documentation: “Looker (Google Cloud core) publishes LookML metadata to regional Cloud Storage repositories for Knowledge Catalog to consume through a batch sync process.”