Google Data Studio provides an interactive platform to visualize and analyze data from different sources. One of the data sources you can connect to is BigQuery, Google's serverless, scalable data warehouse. Here's a step-by-step guide on how to use BigQuery in Google Data Studio:

Step 1: Open Google Data Studio #

Start by signing into your Google Account. After signing in, navigate to the Google Data Studio homepage. If this is your first time, you may need to agree to the terms of service to proceed.

Step 2: Create a New Data Source #

In the Google Data Studio interface, locate and click on the Create button in the top left corner. From the dropdown, select Data Source.

Step 3: Select BigQuery #

In the connectors gallery, find and select BigQuery. You may use the search function if it's not immediately visible.

Step 4: Authorize BigQuery #

Google will ask for your authorization to connect BigQuery to Data Studio. Click Authorize and sign in with the Google account that has access to your desired BigQuery data. Once you've given the necessary permissions, you'll be redirected back to the Data Studio.

Step 5: Select Your BigQuery Project and Dataset #

Once authorized, you'll be able to select the project and dataset from your BigQuery account. Choose the project, then select the dataset, and finally the table that contains the data you want to visualize.

Step 6: Configure Your Data Source #

Once you've selected the table, you'll see a list of all the fields in that table. You can change field names, data types, and aggregation types as required. After making any changes, click Connect in the top right corner. This action will create a new data source.

Step 7: Add Data Source to a Report #

Now that the data source is connected, you can add it to a report. Click Add to Report and Data Studio will automatically add this data source to a new report.

Step 8: Start Visualizing Data #

In the report editor, you can add charts, tables, and other components to visualize your data. You can select the type of chart you want from the toolbar, drag it onto the report, and then assign data fields to the chart dimensions and metrics.

Conclusion #

BigQuery's integration with Google Data Studio allows for powerful data visualization and analysis. By following these steps, you can transform your raw BigQuery data into meaningful insights.

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