Chris Christiansen
9fcb9c354a
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43 lines
1.7 KiB
Markdown
43 lines
1.7 KiB
Markdown
# Looker Studio BigQuery Setup
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This document provides the configuration and steps to manually connect Looker Studio to the project's BigQuery data source.
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## Datasource Configuration
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Below are the parameters for the BigQuery data source. You will need to copy and paste these values into the Looker Studio interface.
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```json
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{
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"type": "bigquery",
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"projectId": "vauco-saas-project",
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"datasetId": "osvauco_telemetry",
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"tableId": "daily_usage_metrics"
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}
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```
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## Manual Setup Instructions
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Since Looker Studio does not have an API for programmatically creating data sources, you must follow these manual steps:
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1. **Go to Looker Studio:** Navigate to [https://lookerstudio.google.com/](https://lookerstudio.google.com/).
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2. **Create a new Data Source:**
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* Click on **Create** in the top left corner.
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* Select **Data Source**.
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3. **Select the BigQuery Connector:**
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* From the list of Google Connectors, choose **BigQuery**.
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4. **Authorize Access:**
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* If prompted, authorize Looker Studio to access your Google Cloud projects.
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5. **Select Your Project:**
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* Under the **My Projects** tab, find and select the project with ID `vauco-saas-project`.
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6. **Specify the Dataset and Table:**
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* For **Dataset**, select `osvauco_telemetry`.
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* For **Table**, select `daily_usage_metrics`.
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7. **Connect:**
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* Click the **Connect** button in the top right corner.
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8. **Verify Schema:**
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* Looker Studio will now display the table's schema. Verify that the fields look correct.
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9. **Create Report:**
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* Click **Create Report** to start building your dashboard with the connected data.
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You have now successfully connected Looker Studio to your BigQuery table.
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