Explanation:
Using Analytics Hub to control data access allows for efficient management and governance of dataset access. It enables fine-grained access controls and permissions, ensuring third-party companies only access necessary data. This approach minimizes costs by reducing data duplication, as all parties access the same dataset directly.
Other options are less optimal:
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You are analyzing a dataset in BigQuery and need to grant access to third-party companies. Your goal is to minimize data sharing costs while ensuring the data remains current. Which solution should you choose to achieve these objectives?
A
Create a Dataflow job that reads the data in frequent time intervals, and writes it to the relevant BigQuery dataset or Cloud Storage bucket for third-party companies to use.
B
Use Cloud Scheduler to export the data on a regular basis to Cloud Storage, and provide third-party companies with access to the bucket.
C
Create a separate dataset in BigQuery that contains the relevant data to share, and provide third-party companies with access to the new dataset.
D
Use Analytics Hub to control data access, and provide third party companies with access to the dataset.