9. Workflow Management for AI
In this chapter, we will learn how to create a pipeline by breaking down a job into multiple executable stages. We will implement a simple linear pipeline and then go even further by implementing a multi-stage data pipeline. Then, we will automate the multi-stage pipeline using Bash. Furthermore, to improve efficiency, we will run the pipeline as an asynchronous process using an ETL workflow. Lastly, we will create a Directed Acyclic Graph (DAG) for the pipeline and implement it using Airflow. By the end of this chapter, you will have created an automated multi-stage pipeline that you can manage with the help of Airflow.