Processamento de dados sem servidor com o Dataflow: como criar um Pipeline ETL usando Apache Beam e Dataflow (Python) avaliações

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broken raise exceptions.HttpError.FromResponse( apitools.base.py.exceptions.HttpBadRequestError: HttpError accessing <https://dataflow.googleapis.com/v1b3/projects/qwiklabs-gcp-03-b4586c69c8ba/locations/us-central1/jobs?alt=json>: response: <{'vary': 'Origin, X-Origin, Referer', 'content-type': 'application/json; charset=UTF-8', 'date': 'Fri, 02 Aug 2024 10:11:46 GMT', 'server': 'ESF', 'cache-control': 'private', 'x-xss-protection': '0', 'x-frame-options': 'SAMEORIGIN', 'x-content-type-options': 'nosniff', 'transfer-encoding': 'chunked', 'status': '400', 'content-length': '252', '-content-encoding': 'gzip'}>, content <{ "error": { "code": 400, "message": "(b1ddf6c232dfa289): The workflow could not be created. Please try again in a few minutes. If you are still unable to create a job please contact customer support.", "status": "INVALID_ARGUMENT" } when running pipeline

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