A retail organization wants to share standardized daily inventory and sales metrics from BigQuery with hundreds of external vendor partners. The organization has established the following operational and governance requirements: Data consumers must be able to query the shared datasets in BigQuery without duplicating storage across consumer projects (zero-copy architecture). The organization must maintain centralized governance, monitor subscriber access, and easily revoke access if commercial agreements end. Data consumers must pay for their own query compute costs without incurring egress fees on the publisher. Which Google Cloud sharing mechanism should the organization implement?

Create a data exchange in Analytics Hub, publish the BigQuery datasets as listings, and manage subscriptions for external partners.: ### **What Analytics Hub is:** **Analytics Hub** is a fully managed data exchange service built on top of **BigQuery** that allows organizations to securely discover, share, and govern datasets at scale across organizational and project boundaries. ### **How it meets the requirements:** - **Zero-copy architecture (✓):** Analytics Hub enables data publishers to create **listings** backed by BigQuery datasets. Subscribers create a read-only linked dataset in their own BigQuery projects, allowing them to query the data in place without copying or duplicating underlying storage. - **Centralized governance and monitoring (✓):** Publishers manage access through private or public **exchanges**, monitor subscribers, view telemetry on dataset usage, and revoke access instantly when contracts expire. - **Separation of storage and compute billing (✓):** Subscribers pay for their own query compute slots/on-demand processing within their own GCP billing accounts, while the publisher only pays for their primary dataset storage without incurring cross-project egress fees. ### **Key advantages and capabilities:** - **Linked Datasets:** Subscribers access live, up-to-date data immediately without needing scheduled export pipelines or ETL jobs. - **Granular Access Control:** Exchange administrators can restrict listings to specific external organizations, Google Groups, or IAM identities. - **Data Clean Rooms:** Supports privacy-preserving collaborative queries without exposing underlying raw or sensitive personal data. - **Auditability and Metrics:** Integration with **Cloud Audit Logs** and BigQuery administration tools provides visibility into listing subscriptions. ### **Why this is optimal:** Analytics Hub is purpose-built for multi-organization data sharing and data democratization. It eliminates the maintenance burden, synchronization latency, and storage replication costs associated with traditional file-based exports or direct table replication.

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Analytics Hub Zero Copy Data Sharing

Section: Determine when to share data using Analytics Hub

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A retail organization wants to share standardized daily inventory and sales metrics from BigQuery with hundreds of external vendor partners. The organization has established the following operational and governance requirements:

Data consumers must be able to query the shared datasets in BigQuery without duplicating storage across consumer projects (zero-copy architecture).
The organization must maintain centralized governance, monitor subscriber access, and easily revoke access if commercial agreements end.
Data consumers must pay for their own query compute costs without incurring egress fees on the publisher.

Which Google Cloud sharing mechanism should the organization implement?

Configure automated Cloud Storage transfer jobs to export BigQuery table data to CSV files in a shared Cloud Storage bucket.

Grant the BigQuery Data Viewer IAM role to individual external user accounts directly on the publisher's BigQuery dataset.

Use Database Migration Service to continuously replicate the BigQuery datasets to a Cloud SQL instance shared with external partners.

Create a data exchange in Analytics Hub, publish the BigQuery datasets as listings, and manage subscriptions for external partners.

Associate Data Practitioner

Analytics Hub Zero Copy Data Sharing

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