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Ultimate guide to creating a pipeline(Apache Airflow)
- Apache Airflow is an open-source platform for workflows like ETL processes or reporting tasks.
- The guide covers setting up WSL on Windows, installing PostgreSQL, configuring Apache Airflow, and creating a DAG.
- For Windows users, WSL enables running a Linux environment for tools like Apache Airflow.
- PostgreSQL is set up to serve as the metadata database for storing Airflow information.
- Steps involve installing WSL, updating packages, installing PostgreSQL, and creating databases and users.
- Apache Airflow setup includes creating a virtual environment, setting environment variables, installing Airflow with PostgreSQL support, and initializing the database.
- Configuration steps include editing the airflow.cfg file, creating a DAGs folder, and optimizing Airflow settings.
- A sample DAG is provided for ETL processes using Python operators to extract, transform, and load data.
- The guide also covers starting the Airflow webserver and scheduler, accessing the Airflow UI, and confirming database connections.
- The process involves thorough steps from installations to configuration for a seamless data pipeline setup.
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