Data Science Model Deployments and Cloud Computing on GCP - Introduction to Airflow

The video provides a refresher on Cloud Composer, a managed Apache Airflow service on GCP. It explains how to set up an Airflow cluster by selecting nodes and their capacities. The video also covers interaction methods with Airflow, including the Cloud Console and gcloud command line tool. It introduces DAGs and discusses Composer 1 and Composer 2 environments, highlighting their features. Finally, it demonstrates creating a Composer environment for orchestrating PySpark jobs on Dataproc Serverless.

What is Cloud Composer and how does it relate to Apache Airflow?

Explain the concept of a DAG in the context of Airflow.

What are the two types of Airflow environments supported by Cloud Composer?

Describe the process of creating a new Composer environment.

What are the key parameters to select when setting up a Composer environment?