Google Professional Data Engineer

Google Professional Data Engineer

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You are tasked with designing a data mesh architecture on Google Cloud, where multiple distinct data engineering teams are responsible for building various data products. The typical data curation design pattern involves landing files in Cloud Storage, then transforming the raw data in both Cloud Storage and BigQuery datasets, and finally storing the curated data product in BigQuery datasets. To achieve this, you need to configure Dataplex in such a way that each team has access only to the assets necessary for their specific data product development, while also ensuring that the curated data product can be easily shared among teams. What steps would you take to accomplish this?