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An enterprise maintains large analytical datasets across multiple cloud environments, including Amazon Simple Storage Service (Amazon S3) and Azure Blob Storage, alongside existing datasets in Google Cloud BigQuery. The enterprise needs to implement a solution that satisfies the following requirements:
Which architectural strategy should you recommend?
BigQuery Omni is a multicloud analytics solution that extends the BigQuery query engine to execute directly in other cloud platforms such as AWS and Microsoft Azure. By utilizing BigLake tables that reference external object stores like Amazon S3 and Azure Blob Storage, BigQuery Omni coordinates query execution locally in those clouds without moving raw datasets across cloud boundaries.
Workload Identity Federation allows external workloads running in AWS, Azure, or on-premises systems to impersonate Google Cloud service accounts using short-lived credentials obtained via OpenID Connect (OIDC) or SAML 2.0, completely eliminating the need to create and manage long-lived service account JSON keys.
This architecture avoids unnecessary data duplication while providing centralized analytics and governance. Combining BigQuery Omni with Workload Identity Federation establishes a modern, zero-trust multicloud architecture that satisfies both analytical agility and strict security compliance.
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