The Complete Course of Apache Airflow 2024

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1. Introduction to Apache Airflow

1. Welcome to the course.mp4

04:17

2. Introduction to Apache Airflow.mp4

07:29

3. Understanding DAGs (Directed Acyclic Graphs) and operators.mp4

05:53

2. Apache Airflow Architecture

1. Components of Apache Airflow Scheduler, Executor, Metadata Database, Web Server.mp4

06:36

2. Understanding the role of each component in workflow orchestration.mp4

08:36

3. Installation and Setup

1. Installing Apache Airflow using different methods (e.g., pip, Docker)-1.mp4

10:43

2. Installing Apache Airflow using different methods (e.g., pip, Docker)-2.mp4

03:43

3. Exploring Airflows web interface.mp4

08:00

4. Writing and Managing DAGs

1. Understanding DAGs in detail.mp4

12:24

2. How to Write DAGs.mp4

25:32

3. Best practices for organizing and managing DAG code.mp4

09:46

4. How to Write DAGs Assignment.mp4

01:12

5. Operators and Executors

1. Understanding Executors.mp4

07:34

2. Understanding different types of operators (BashOperator, PythonOperator, etc.).mp4

31:13

3. Operators and Executors Assignment.mp4

01:03

6. Monitoring and Logging

1. Monitoring DAG runs and task statuses.mp4

34:14

2. Monitoring and Logging Assignment.mp4

01:07

7. Scaling and High Availability

1. Scaling Airflow horizontally and vertically.mp4

27:54

2. Configuring High Availability (HA) setups for production deployments-1.mp4

25:20

3. Configuring High Availability (HA) setups for production deployments-2.mp4

22:05

8. Advanced Features and Integrations

1. Working with sensors for external triggers and dependencies.mp4

17:44

2. Integrating Airflow with external systems.mp4

20:39

9. Testing and Debugging

1. Writing unit tests for DAGs and tasks.mp4

15:10

2. Deployment and Best Practices.mp4

07:53

3. Practical Assignment.mp4

00:50

10. Designing and implementing a real-world workflow using Apache Airflow

1. Final Project-1.mp4

04:04

2. Final Project-2.mp4

53:47

3. Final Project-3.mp4

09:12

4. Final Project-4.mp4

10:08

5. Final Project-5.mp4

25:07

6. Course Closure.mp4

01:43

Description

Learn Apache Airflow in a Professional way. Become an expert in Data Pipelines and Workflows, from ZERO to HERO!

What You'll Learn?

At the end of the course you will fully master Apache Airflow, to be able to programmatically author, schedule, and monitor complex workflows from scratch
You will be able to conduct Apache Airflow projects step by step, understanding all the logic and ending with advanced practical examples and complete projects
You will establish a foundational understanding of Apache Airflow and its primary components
You will learn to install and set up Apache Airflow using various methods and explore its web interface
You will develop skills to write, organize, and manage DAGs effectively using best practices
You will understand the different types of operators and executors to manage and execute tasks efficiently
You will master techniques for monitoring and logging to manage DAG runs and task statuses effectively
You will learn to scale Apache Airflow and configure high availability setups for production environments
You will explore advanced features of Apache Airflow and learn to integrate it with external systems
You will develop skills in testing, debugging, and deploying DAGs and tasks using best practices
You will design and implement a complex, real-world workflow using Apache Airflow, integrating all learned concepts
You will be able to practice the content learned in a practical way by following all the steps in the complete exercises and the hands-on projects
You will start with the basics and progressively carry out more complex steps until you reach an advanced level and absolute mastery at the end of the course

Who is this for?

Beginners who have never used Apache Airflow before

Data Engineers, Data Scientists, DevOps Engineers, Software Engineers, IT Professionals, Students... who want to learn a new way to create Directed Acyclic Graphs (DAGs)

Intermediate or advanced Airflow users who want to improve their skills even more!

What You Need to Know?

Having basic notions Data Pipelines can help, but the course starts from scratch

Preparing and installing the needed environment to follow the practical sessions (if you don't know how, don't worry, it's very easy, and I'll explain it to you in the course!)

A decent computer and of course, desire to learn!

More details

Description
Become an Apache Airflow professional and learn one of employer's most requested skills nowadays!
This comprehensive course is designed so that Data Engineers, Data Scientists, DevOps, Software Engineers, IT Professionals, Students... can learn Apache Airflow from scratch to use it in a practical and professional way. Never mind if you have no experience in the topic, you will be equally capable of understanding everything and you will finish the course with total mastery of the subject.
After several years working in data engineering, we have realized that nowadays mastering Apache Airflow for efficient and maintainable orchestration of complex workflows is very necessary across diverse systems. Knowing how to use this tool can give you many job opportunities and many economic benefits, especially in the world of IT.
The big problem has always been the complexity to perfectly understand Apache Airflow requires, since its absolute mastery is not easy. In this course we try to facilitate this entire learning and improvement process, so that you will be able to carry out and understand your own projects in a short time, thanks to the step-by-step, detailed and hands-on examples of every concept.
With almost 7 exclusive hours of video, this comprehensive course leaves no stone unturned! It includes both practical exercises and theoretical examples to master Apache Airflow. The course will teach you how to proficiently deploy, manage, and optimize workflows, ensuring streamlined automation and robust data pipeline in a practical way, from scratch, and step by step.
We will start with the setup and installation of the needed work environment on your computer, regardless of your operating system and computer.
Then, we'll cover a wide variety of topics, including:
Introduction to Apache Airflow and course dynamics
Master installing and configuring Apache Airflow
Create and organize DAGs effectively
Different operators and executors to define and run tasks
Monitor workflow execution and task statuses
Scale Airflow installations and ensure availability
Explore advanced features and integrate with external systems
Test, debug, and deploy Airflow workflows
Mastery and application of absolutely ALL the functionalities of Apache Airflow
Quizzes, Practical exercises, complete projects and much more!
In other words, what we want is to contribute our grain of sand and teach you all those things that we would have liked to know in our beginnings and that nobody explained to us. In this way, you can learn to build and manage a wide variety of projects and make versatile and complete use of Apache Airflow. And if that were not enough, you will get lifetime access to any class and we will be at your disposal to answer all the questions you want in the shortest possible time.
Learning Apache Airflow has never been easier. What are you waiting to join?
Who this course is for:
Beginners who have never used Apache Airflow before
Data Engineers, Data Scientists, DevOps Engineers, Software Engineers, IT Professionals, Students... who want to learn a new way to create Directed Acyclic Graphs (DAGs)
Intermediate or advanced Airflow users who want to improve their skills even more!

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Hi everybody! The Tech Courses is a dynamic collective of passionate engineers and developers with a shared mission: to provide exceptional learning experiences to students in the world of technology and science. With a focus on clarity, interactivity, and real-world relevance, our courses span a spectrum of tech topics, ensuring both beginners and experienced individuals find valuable insights.What sets The Tech Courses apart is our commitment to bridging theory and practice. Through a blend of video lectures, coding exercises, and real-world life projects, we empower students to not only grasp complex concepts but also apply them effectively. This approach fosters a vibrant learning community where mentorship and peer interaction are fundamental.By combining our technical expertise with a genuine dedication to education, The Tech Courses creates an environment where students can develop a strong foundation, refine problem-solving skills, and stay updated of technological advancements. In other words, our approach nurtures not just skill acquisition, but a lifelong enthusiasm for learning within the dynamic tech landscape.

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