Dataform workflows, BigQuery notebooks, pipelines, and data preparations
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## Breaking
Breaking
[Dataform workflows](https://cloud.google.com/dataform/docs/sql-workflows),[BigQuery notebooks](https://cloud.google.com/bigquery/docs/orchestrate-notebooks),[pipelines](https://cloud.google.com/bigquery/docs/schedule-pipelines), and[data preparations](https://cloud.google.com/bigquery/docs/orchestrate-data-preparations)are enforcing strict act-as mode at the project level. To avoid failures and maintain automatic releases, you must use custom service accounts instead of the default Dataform service agent across all repositories. You must also grant the Service Account User role (`roles/iam.serviceAccountUser`) to the default Dataform service agent and relevant principals. For more information and to verify act-as permissions, see[Use strict act-as mode](https://cloud.google.com/dataform/docs/strict-act-as-mode).
What else is happening at Google Cloud Platform?
You can now use dataset insights to understand relationships between tables in a dataset by generating
about 8 hours ago
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Cloud KMS Autokey for projects is available in Public Preview
about 18 hours ago
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You can now deploy containerized workloads to Cloud Run worker pools
about 21 hours ago
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