# Looker Studio BigQuery Setup

This document provides the configuration and steps to manually connect Looker Studio to the project's BigQuery data source.

## Datasource Configuration

Below are the parameters for the BigQuery data source. You will need to copy and paste these values into the Looker Studio interface.

```json
{
  "type": "bigquery",
  "projectId": "vauco-saas-project",
  "datasetId": "osvauco_telemetry",
  "tableId": "daily_usage_metrics"
}
```

## Manual Setup Instructions

Since Looker Studio does not have an API for programmatically creating data sources, you must follow these manual steps:

1.  **Go to Looker Studio:** Navigate to [https://lookerstudio.google.com/](https://lookerstudio.google.com/).
2.  **Create a new Data Source:**
    *   Click on **Create** in the top left corner.
    *   Select **Data Source**.
3.  **Select the BigQuery Connector:**
    *   From the list of Google Connectors, choose **BigQuery**.
4.  **Authorize Access:**
    *   If prompted, authorize Looker Studio to access your Google Cloud projects.
5.  **Select Your Project:**
    *   Under the **My Projects** tab, find and select the project with ID `vauco-saas-project`.
6.  **Specify the Dataset and Table:**
    *   For **Dataset**, select `osvauco_telemetry`.
    *   For **Table**, select `daily_usage_metrics`.
7.  **Connect:**
    *   Click the **Connect** button in the top right corner.
8.  **Verify Schema:**
    *   Looker Studio will now display the table's schema. Verify that the fields look correct.
9.  **Create Report:**
    *   Click **Create Report** to start building your dashboard with the connected data.

You have now successfully connected Looker Studio to your BigQuery table.