Apache Airflow Bootcamp: Hands-On Workflow Automation
Step-by-Step Guide to Building and Managing Robust Workflows with Apache Airflow
4.54 (88 reviews)
360
students
6.5 hours
content
Apr 2025
last update
$13.99
regular price
What you will learn
Understand what Apache Airflow is, its purpose and pros and cons of using Airflow
Step-by-step guide to installing Airflow
Launch and navigate the Airflow Web UI and learn about various views: DAG, Grid, Graph, Calendar, Task Duration, Code, Variable and Gantt View
Understand what a DAG is and how to create a DAG definition file and different methods for DAG creation
Learn about DAG Run, default_arguments, and DAG arguments and Master scheduling concepts such as depends_on_past, wait_for_downstream, catchup, and backfill
Use the Airflow CLI for various operations and access a handy cheatsheet for quick reference
Understand tasks, task instances and Learn the lifecycle of a task
Master different operators including BashOperator, PostgresOperator, PythonOperator, SqliteOperator, and EmailOperator
Implement sensors like FileSensor, SQLSensor, TimeDeltaSensor, and TimeSensor
Apply branching logic with BranchSQLOperator, BranchPythonOperator, BranchDayOfWeekOperator, BranchDateTimeOperator, and ShortCircuitOperator
Manage DAG dependencies and use TaskGroups ,Utilize TriggerDagRunOperator , ExternalTaskSensor and use hooks such as PostgresHook and SHook
Manage resources with pools and task priorities
Learn about different types of executors: SequentialExecutor and LocalExecutor and learn the Transition from SequentialExecutor to LocalExecutor
Explore the Airflow metadata database and Manage roles and create users with different roles including admin, public, user, and operator roles
Set and manage task-level and DAG-level SLAs and handle SLA misses
Address issues like zombie tasks, SIGTERM, and SIGKILL errors
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5931124
udemy ID
18/04/2024
course created date
17/10/2024
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