Your organization stores continuously updated sales data in BigQuery and wants business users to create governed, real-time dashboards that can be embedded into other applications without copying or exporting the data. Which Google Cloud service should you choose to satisfy these requirements?
Use Looker to connect directly to BigQuery and build embedded dashboards.
Export the BigQuery data to Google Sheets and visualize it with Connected Sheets.
Copy the data to Cloud Storage and analyze it with Dataproc notebooks.
Load the data into Cloud SQL and point Data Studio at the database.
Looker connects directly to BigQuery, querying the data where it resides so there is no need to copy or export datasets. Through LookML it enforces centrally managed governance and offers embedded analytics capabilities, letting teams build real-time dashboards that can be surfaced inside other business tools.
Connected Sheets also connects directly to BigQuery, but it is designed for spreadsheet-based analysis and does not provide governed, embeddable dashboards. Using Cloud SQL with Looker Studio would require moving the data into Cloud SQL, and Dataproc notebooks focus on code-driven analytics rather than a governed, embeddable BI experience.
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What is Looker and how does it work with BigQuery?
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What is LookML in Looker?
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Why is Connected Sheets not suitable for embedding governed dashboards?
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What is Looker and how does it integrate with BigQuery?
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What is LookML and why is it important for governed analytics?
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How do embedded dashboards work in Looker?
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