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The Complete Course of Apache Airflow 2024

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The Complete Course of Apache Airflow 2024, available at $54.99, has an average rating of 5, with 31 lectures, based on 1 reviews, and has 9 subscribers.

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You will learn about 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 This course is ideal for individuals who are Beginners who have never used Apache Airflow before or Data Engineers, Data Scientists, DevOps Engineers, Software Engineers, IT Professionals, Students… who want to learn a new way to create Directed Acyclic Graphs (DAGs) or Intermediate or advanced Airflow users who want to improve their skills even more! It is particularly useful for Beginners who have never used Apache Airflow before or Data Engineers, Data Scientists, DevOps Engineers, Software Engineers, IT Professionals, Students… who want to learn a new way to create Directed Acyclic Graphs (DAGs) or Intermediate or advanced Airflow users who want to improve their skills even more!.

Enroll now: The Complete Course of Apache Airflow 2024

Summary

Title: The Complete Course of Apache Airflow 2024

Price: $54.99

Average Rating: 5

Number of Lectures: 31

Number of Published Lectures: 31

Number of Curriculum Items: 31

Number of Published Curriculum Objects: 31

Original Price: €219.99

Quality Status: approved

Status: Live

What You Will 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 Should Attend

  • 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!

Target Audiences

  • 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!

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?

Course Curriculum

Chapter 1: Introduction to Apache Airflow

Lecture 1: Welcome to the course

Lecture 2: Introduction to Apache Airflow

Lecture 3: Understanding DAGs (Directed Acyclic Graphs) and operators

Chapter 2: Apache Airflow Architecture

Lecture 1: Components of Apache Airflow: Scheduler, Executor, Metadata Database, Web Server

Lecture 2: Understanding the role of each component in workflow orchestration

Chapter 3: Installation and Setup

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

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

Lecture 3: Exploring Airflow's web interface

Chapter 4: Writing and Managing DAGs

Lecture 1: Understanding DAGs in detail

Lecture 2: How to Write DAGs

Lecture 3: Best practices for organizing and managing DAG code

Lecture 4: How to Write DAGs Assignment

Chapter 5: Operators and Executors

Lecture 1: Understanding Executors

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

Lecture 3: Operators and Executors Assignment

Chapter 6: Monitoring and Logging

Lecture 1: Monitoring DAG runs and task statuses

Lecture 2: Monitoring and Logging Assignment

Chapter 7: Scaling and High Availability

Lecture 1: Scaling Airflow horizontally and vertically

Lecture 2: Configuring High Availability (HA) setups for production deployments-1

Lecture 3: Configuring High Availability (HA) setups for production deployments-2

Chapter 8: Advanced Features and Integrations

Lecture 1: Working with sensors for external triggers and dependencies

Lecture 2: Integrating Airflow with external systems

Chapter 9: Testing and Debugging

Lecture 1: Writing unit tests for DAGs and tasks

Lecture 2: Deployment and Best Practices

Lecture 3: Practical Assignment

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

Lecture 1: Final Project-1

Lecture 2: Final Project-2

Lecture 3: Final Project-3

Lecture 4: Final Project-4

Lecture 5: Final Project-5

Lecture 6: Course Closure

Instructors

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  • 5 stars: 1 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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