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Dag_id

As explained in Data Pipelines with Apache Airflow, Second Edition

A dag_id is the identifier assigned to an Airflow DAG.

A dag_id names an Airflow DAG. Define it when creating the DAG object, alongside settings such as start_date and schedule. With schedule set to None, the workflow can be triggered manually from the Airflow UI. section 2.2

Naming a rocket-launch workflow

A download-and-processing workflow can define its DAG with `with DAG(dag_id="02_download_rocket_launches", ..., schedule=None):`. Tasks such as `download_launches`, `get_pictures`, and `notify` then belong to that named workflow and run in dependency order. section 2.2

How Data Pipelines with Apache Airflow, Second Edition covers it

How deep it goes
Explains where to provide dag_id during DAG construction but does not detail identifier constraints or scheduler internals.
Examples
Uses a rocket-launch workflow with download, picture-processing, notification tasks, and an explicit DAG constructor listing.
What it assumes
Assumes basic Python syntax and introduces DAG construction through Python's context-manager pattern.
What you can do after
Build it from scratch by assigning dag_id while defining an Airflow DAG and organizing its tasks.
How it connects
Connects dag_id to DAGs, tasks, task dependencies, scheduling, and the Airflow UI.
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