Header Apache Airflow Fundamentals

Apache Airflow Fundamentals

AWS Technical Fundamentals Course


Trainer Shaoqi Chen

Trainer

Shaoqi Chen

Profile
Provided by
Offers In-house Training
Realization Online training In-person training
Target group Data Engineers Data Scientists

Duration 2 days

Apache Airflow is a powerful open source workflow tool for automating, scheduling and monitoring workflows.

The course is aimed at people who want to use Apache Airflow to build and manage end-to-end data pipelines.

It is cloud agnostic and can be deployed natively in the cloud as well as in Kubernetes. This makes Airflow perfect for orchestrating simple tasks all the way up to complex scalable ETL routes.

Among other things, these questions will be answered:

  • TBD


Requirements

  • Python Basics
  • IT Basics

Trainings content

Day 1

  • Apache Airflow Introduction
  • Airflow Architecture
  • Directed Acyclic Graph (DAG) and its components
  • DAG Deep Dive Part 1
  • Idempotency and Atomicity

Day 2

  • DAG Deep Dive Part 2
  • Skipping tasks in a workflow
  • Communication with external system
  • Data Transfer into AWS
  • Testing Workflows
  • Workflow in CLI
  • Apache Airflow in Cloud

Do you have any questions?

Feel free to have a look at our FAQ or contact us directly. We are happy to assist you.

Read FAQ

Your contact person:
Frauke Kirchhof

Telephone +49. 531. 2 35 28 900
Email training@cloudogu.com


Training dates

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