From the course: Learning BigQuery
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Granting a user project-level access - BigQuery Tutorial
From the course: Learning BigQuery
Granting a user project-level access
- [Instructor] Previously, we created a new view called bank branch accounts in a data set called loony analysts and this view sources data from a different data set. We will now need to set up access to this view to a different user. I'm currently connected to Google Cloud as a user called Cloud User who is identified by the C in the top-right. But now I'm going to switch windows over to a separate browser where I'm going to connect to Google Cloud as a fictitious analyst who will be granted access to the view. Once this fictitious user navigates to the Google Cloud console, they will, of course, need to sign in. I'll just enter the information for a fictitious user. Let's just say alice@loonycorn.com represents an analyst. I'll just complete the steps in order to sign in. And now Alice is connected to the Google Cloud. Note the capital A in the top-right. The question though is, what can Alice really access in…
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Contents
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Saving query results using views5m 47s
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Querying views vs. querying the original tables2m 50s
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Materialized views in BigQuery5m 21s
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Defining a restricted view of data3m 33s
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Granting a user project-level access4m 12s
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Setting up an authorized view3m 43s
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