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Answer: Control data access with Analytics Hub and grant third-party companies access to the original dataset while monitoring and auditing data access.
Analytics Hub allows for the definition of access policies and permissions for specific datasets, views, or tables in BigQuery. This enables the restriction of access to certain users or groups, and the setting of fine-grained access controls based on factors such as IP address or user identity. Utilizing Analytics Hub ensures that third-party companies only access the specific data they need, while also allowing for the monitoring and auditing of data access to maintain compliance with regulations and security best practices. Ref: [https://cloud.google.com/bigquery/docs/analytics-hub-introduction](https://cloud.google.com/bigquery/docs/analytics-hub-introduction)
Author: LeetQuiz Editorial Team
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What is the most cost-effective method to share a BigQuery dataset with third-party companies while ensuring the data remains up-to-date?
A
Set up a Dataflow job to periodically read the data and write it to a designated BigQuery dataset or Cloud Storage bucket that can be accessed by third-party companies, ensuring that the data is always current.
B
Export the data regularly from BigQuery to Cloud Storage using Cloud Scheduler and provide third-party companies with access to the exported data, ensuring that the data is up-to-date.
C
Create a new BigQuery dataset that includes only the relevant data to be shared with third-party companies and grant access to this new dataset.
D
Control data access with Analytics Hub and grant third-party companies access to the original dataset while monitoring and auditing data access.
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