Apache Airflow: Complete Hands-On Beginner to Advanced Class
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 48000 Hz
Language: English | VTT | Size: 2.79 GB | Duration: 4.5 hours

What you'll learn
Core and Advanced Concepts in Airflow through Real-World Examples
Architecture Components of Apache Airflow
How to Set Up Connections to External Resources
How to Load and Analyse Data in a Data Warehouse using Airflow
How to Schedule PySpark jobs using Apache Airflow
How to Extend Airflow with Custom Operators and Sensors
How to Test Airflow DAGs and Operators
How to Deploy Airflow Instances with Different Executors
How to Set Up Error Tracking and Monitoring

Requirements
Beginner Python programming knowledge
Beginner SQL knowledge
Beginner Docker knowledge
Description
Hi there, my name is Alexandra Abbas. I’m an Apache Airflow Contributor and a Google Cloud Certified Data Engineer & Architect with over 3 years experience as a Data Engineer.

Are you struggling to learn Apache Airflow on your own? In this course I will teach you Airflow in a practical manner, with every lecture comes a full coding screencast. By the end of the course you will be able to use Airflow professionally and add Airflow to your CV.

This course includes 50 lectures and more than 4 hours of video, quizzes, coding exercises as well as 2 major real-life projects that you can add to your Github portfolio!

You will learn:

How to install and set up Airflow on your machine

Basic and advanced Airflow concepts

How to develop complex real-life data pipelines

How to interact with Google Cloud from your Airflow instance

How to extend Airflow with custom operators and sensors

How to test Airflow pipelines and operators