looker-studio-bigquery

Design and deploy analytics dashboards connecting BigQuery data to Looker Studio visualizations. Project creation and activation Create a new project in Google Cloud Console and enable the BigQuery API. Create dataset and table IAM permission configuration Grant IAM permissions so Looker Studio can access BigQuery: Using native BigQuery connector (recommended) Custom SQL query approach Write SQL directly when complex data transformation is needed: Advantages: Multiple table join approach Use scheduled queries instead of live queries to periodically pre-compute data: Configure as scheduled query in BigQuery UI: Advantages: F-pattern layout Use the F-pattern that follows the natural reading flow of users: Dashboard components Real example: E-commerce dashboard Filter types 1. Date range filter (required) 2. Dropdown filter 3. Advanced filter (SQL-based) Filter implementation example 1. Using partition keys 2. Data extraction (Extract and Load) Extract data to a Looker Studio-dedicated table each night: 3.