Apache Airflow | A Real-Time & Hands-On Course on Airflow
Offered By: Udemy
Course Description
Overview
What you'll learn:
- Learn Full In & out of Apache Airflow with proper HANDS-ON examples from scratch.
- Start with the implementation of Airflow core nomenclature - DAG, Operators, Tasks, Executors, Cfg file, UI views etc.
- ADVANCE Airflow concepts, the explanation to which is not very clear even in Airflow's Official Documentation.
- XComs, Hooks, Pools, SubDAGs, Variables, Connections, Plugins, Adhoc queries, Branching, Sensors and many more....
- Exclusive features - Data Profiling, Charts, Trigger rules, airflowignore file, Zombies, Undeads, LatestOnly operator.
- Create data pipeline of Real-Time case studies using Apache Airflow.
- Learn Best practices / Do's & Don'ts to follow in Real-Time Airflow Projects.
- Codes and Data-sets are available in resources tab.
"Apache Airflow is a platform created by community to programmatically author, schedule and monitor workflows."
Airflow is going to change the way of scheduling data pipelines and that is why it has become the Top-level project of Apache. In fact, it has already been adopted by mass companies.
What's included in the course ?
Complete Apache Airflow concepts explained from Scratch to ADVANCE with Real-Time implementation.
Each and every Airflow concept is explained with HANDS-ON examples.
Includes each and every, even thin detail of Airflow.
XComs, Hooks, Pools, SubDAGs, Variables, Connections, Plugins, Adhoc queries, Sensors and many more....
Include even those concepts, the explanation to which is not very clear even in Apache Airflow's Official Documentation.
Exclusive Features - Data Profiling, Charts, Trigger rules, airflowignore file, Zombies, Undeads, LatestOnly operator.
Learn Best practices / Do's & Dont's to follow in Real-Time Airflow Projects.
Build data pipeline of a Real-Time case study using Airflow.
After completing this course, you can start working on any Airflow project with full confidence.
Add-Ons
Questions and Queries will be answered very quickly.
Airflow codes and datasets used in lectures are attached in the course for your convenience.
Iam going to update it frequently, every time adding new components of Airflow.
Taught by
A to Z Mentors
Related Courses
Advanced Reproducibility in Cancer InformaticsJohns Hopkins University via Coursera DevOps on Alibaba Cloud
Alibaba via Coursera Fundamentos de DevOps: Optimiza el desarrollo del software
Universidad Anáhuac via edX Implementar Aplicação Web no AWS Elastic Kubernetes Service
Coursera Project Network via Coursera Getting started with AWS Elastic Container Registry (ECR)
Coursera Project Network via Coursera