Airflow: Mastering Key Concepts and Conquer Challenges

Focused View

Intelligence Guru

2:42:50

24 View

1. Introduction and Installation

1. Introduction to Airflow.mp4

02:51

2. Overview of Airflow features and benefits.mp4

02:12

3. DAG Important Concepts.mp4

05:58

4. Installing and configuring Airflow on local environments.mp4

08:41

5. Installation Challenges.mp4

04:16

2. Workflow Design and Management

1.1 Architecture PDF.pdf

1. Understanding Apache Airflow architecture and components.mp4

02:39

2. Apache Airflow Executors A comprehensive guide.mp4

04:22

3. Examining the example DAG and guide to create a DAG.mp4

10:46

4.1 simple dag.zip

4. Part 1 Creating a simple DAG in Apache Airflow.mp4

11:15

5.1 advanced dag.zip

5.2 complex dag.zip

5. Part 2 Creating a complex DAGs in Apache Airflow.mp4

19:10

6. Task dependencies and Scheduling.mp4

05:21

7. Managing Workflow Execution, Retries and SLAs.mp4

03:31

8. Handling Complex Dependencies and Parallelism in DAGs.mp4

04:06

3. Operators and Sensors

1.1 m3v1.zip

1. Introduction to Operators in Apache Airflow.mp4

01:50

2.1 m3v2 bash.zip

2.2 m3v2.zip

2. Deep dive into common Operators.mp4

05:13

3.1 file sensor.zip

3.2 http sensor.zip

3. Introduction to Sensors in Apache Airflow.mp4

02:02

4.1 custom sensor.zip

4. Custom Operators and Sensors.mp4

02:20

5. Use cases of custom Operators and Sensors in Apache Airflow.mp4

02:37

6.1 custom operator jinja template.zip

6. Custom Operator - Jinja template.mp4

04:42

4. Advanced Concepts and Scaling

1.1 m4 branchingcode.zip

1.2 m4v1.zip

1. Introduction to SubDAGs and Branching.mp4

05:03

2.1 m4v2.zip

2. Data Exchange in Airflow with XCom.mp4

04:42

3. Mastering Connections and Variables in Airflow.mp4

03:11

4. Scaling and Optimizing Apache Airflow.mp4

04:08

5. Understanding of Machine Learning.mp4

08:31

6.1 m4v6 titanic 1.zip

6.2 titanic.csv

6. Integrating ML workflows in Apache Airflow.mp4

16:06

7.1 m4v6.zip

7. Challenges in Advanced Airflow Workflows and their Resolutions.mp4

04:30

5. Incremental Data Load

1. Understanding Incremental Data Processing.mp4

02:31

2.1 filemaker with date.zip

2.2 m5v2.zip

2. Incremental Data Processing with Custom Airflow Operator.mp4

07:29

3. Efficient Transformation and Loading Strategies.mp4

02:47

Description

Building of better data pipelines by overcoming with day to day challenges

What You'll Learn?

Understand the features and benefits of using Airflow for workflow orchestration.
Acquire troubleshooting skills for common installation issues and debugging setup problems
Understand the architecture and components of Apache Airflow.
Develop skills in handling complex dependencies and parallelism in DAG design.
Implement custom operators and sensors for seamless integration with specific systems or APIs.
Leverage XCom for efficient data exchange between tasks.
Develop skills in designing complex SubDAGs and managing dynamic workflow structures.
Implement Incremental Data Processing with a custom Airflow Operator.

Who is this for?

Aspiring Data Engineers

ETL developers

Data Scientists

Data Analysts

Software Engineers

Enterprise Architects

What You Need to Know?

Any python version which is above 3.7 preferably pycharm

Latest version of Visual Studio Code application

Basic knowledge of python

More details

Description
This course is meticulously crafted to provide you with a deep understanding of Apache Airflow, from the fundamentals to advanced concepts. Whether you're a beginner or a seasoned professional, this course equips you with the skills needed to orchestrate complex data workflows efficiently.
Module 1: Introduction and Installation Embark on your Airflow journey with a solid foundation. Gain insights into Airflow's features and benefits, and master the art of installing and configuring Airflow in various environments. Dive into challenging resolution topics, troubleshooting installation issues, and debugging setup problems.
Module 2: Workflow Design and Management Explore the intricacies of Airflow's architecture and components. Learn to define and structure workflows using Directed Acyclic Graphs (DAGs). Grasp task dependencies, scheduling techniques, and how to manage workflow execution, retries, and Service Level Agreements (SLAs). Tackle challenges in handling complex dependencies and parallelism in DAG design.
Module 3: Operators and Sensors Navigate the diverse world of operators in Airflow, including BashOperator, PythonOperator, and SQLOperator. Harness the power of sensors to trigger tasks based on external events or conditions. Confront challenges by implementing custom operators and sensors for seamless integration with specific systems or APIs.
Module 4: Advanced Concepts and Scaling Elevate your expertise with advanced workflow concepts, such as SubDAGs and branching workflows. Leverage XCom for efficient data exchange between tasks. Work with connections and variables in Airflow, and scale Airflow to handle large workloads while optimizing performance. Create a machine learning framework for executing specific tasks within the workflow. Conquer challenges in designing complex SubDAGs and managing dynamic workflow structures.
Module 5: Incremental Data Load Delve into Incremental Data Processing and understand efficient strategies. Learn to implement Incremental Data Processing with a custom Airflow Operator. Explore techniques for efficient transformation and loading, ensuring optimal data processing strategies.
Enroll now to unlock the full potential of Apache Airflow, conquer challenges, and become a master orchestrator of data workflows!
Who this course is for:
Aspiring Data Engineers
ETL developers
Data Scientists
Data Analysts
Software Engineers
Enterprise Architects

User Reviews

Rating

average 0

Total votes0

Focused display

Business Intelligence Guru is a cooperative company and a top rated business skills instructor. It offers relevant and timely content delivered by proficient instructors. Thousands of students spread all across the globe have benefitted from BI Guru’s convenient delivery methods and formats. . We mainly focus on delivering courses like Microsoft SQL Server Integration Services (SSIS), Microsoft SQL Server Reporting Services (SSRS), Analysis Services (SSAS) and T-SQL Programming. The courses are formatted in high quality videos, taught using practical examples. Our Instructors are subject matter experts in the IT industry having around 10 years of Business Intelligence experience in public and private sectors. They specialize in Database Programming, Integration Services and Reporting Services development. Now we are hosting SQL BI Guru’s videos too.

Udemy

View courses Udemy

Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.