Airflow is a popular workflow tool for scheduling and monitoring the ETL(Extract, Transform, Load) process in modern data engineering. It allows users to create a data pipeline between various data sources such as RDBMS, API, spreadsheet, and data warehouse.

BigQuery, Google's managed data warehouse, is one of the most frequently used data warehouses for its flexibility and convenience.

This guide introduces how to create a simple batch ETL pipeline by integrating Airflow with BigQuery. The following tutorial is appropriate for users who have a basic experience with the ETL process, Bigquery, and writing Airflow DAG,

• Guide
• Sample DAGs

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