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Scenario: Your company is setting up its data lake on Google Cloud and is planning to create various ingestion pipelines to gather unstructured data from diverse sources. Once the data is stored on Google Cloud, it will undergo processing in multiple data pipelines to create a recommendation engine for website users. The format of the data obtained from the source systems may vary unexpectedly. It is crucial to preserve the data exactly as retrieved to allow for future reprocessing in case the data format does not align with the current processing pipelines. Question: How should you design an architecture to accommodate this use case post data retrieval?