How does Looker Studio integrate with Google BigQuery?

Looker is a cloud-based data visualization and analytics platform that can be integrated with Google BigQuery to allow you to analyze and visualize your BigQuery data using Looker's powerful data modeling and visualization tools.

To integrate Looker with BigQuery, you will need to create a connection between Looker and your BigQuery project, and then import your BigQuery data into Looker using Looker's data modeling language, LookML. You can do this by following these steps:

1. Sign in to your Looker account and navigate to the "Connections" page in the main menu.

2. Click on the "New Connection" button, and select "BigQuery" from the list of connection types.

3. Follow the prompts to create a connection to your BigQuery project, including entering your BigQuery credentials and selecting the project and dataset that you want to connect to.

4. Once the connection is established, you can use Looker's data modeling language, LookML, to import your BigQuery data into Looker and create Looker data models and views.

5. To create a data model and view in Looker, you will need to define the fields and relationships in your data using LookML, and then create a view or dashboard to visualize your data.

Once you have imported your BigQuery data into Looker and created a data model and view, you can use Looker's powerful visualization and analysis tools to explore and analyze your data, or share your insights with your team or stakeholders.

It's important to note that the Looker integration with BigQuery requires a Looker license and may incur additional costs, depending on your usage and data volume. You should carefully review the pricing and terms of the Looker integration before enabling it.