Practical Guide 2021-8 – Download

Description

Apache Airflow: A How-to Guide is a tutorial on the Apache Airflow workflow management platform published by the online academy Udemy. Apache Airflow is an open source platform used to orchestrate complex workflows and data pipelines. It allows users to define, schedule, and monitor workflows in the form of directed acyclic graphs (DAGs), making it easier to automate and manage data processing tasks. Apache Airflow is widely used across various industries and domains to automate and manage data pipelines, ETL (Extract, Transform, Load) processes, machine learning workflows, and workflow orchestration tasks.

Its flexibility, scalability and extensibility make it a popular choice for organizations looking to simplify and automate their data processing and workflow management tasks. In this training course, you will become familiar with this workflow management platform and be able to use it in your project and organization. In this training course, you will learn topics such as Apache Airflow principles, mastering DAGs, working with Elasticsearch and Grafana, using Airflow and Kubernetes Executor, formatting a DAG, how to depend on another DAG, scaling Apache Airflow, and much more. This course is recommended for data engineers, DevOps, software engineers and people who want to leverage the potential of Apache Airflow in their projects.

What you’ll learn in Apache Airflow: How to:

Coding Data Pipelines
Following best practices for using Apache Airflow
How to set up monitoring with Elasticsearch and Grafana
DAG formatting, how to make one DAG dependent on another
AND…

Course characteristics

Publisher: Udemy
Instructors: Mark Lamberti
English language
Level: from introductory to advanced
Number of lessons: 106
Duration: 13 hours

Course topics for 2023/10

Apache Airflow: How-To Contents

Apache Airflow: A How-to Guide

Docker and Python concepts
Virtual Box installed (only for the local part of the Kubernetes cluster)
Tramp installed
The course “A Complete Practical Introduction to Apache Airflow” can be a nice plus.