Mastering Apache Airflow: Advanced Dags, Scaling, & Hands-On

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Mastering Apache Airflow: Advanced Dags, Scaling, & Hands-On
Published 3/2025
Created by Tech Jedi
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 40 Lectures ( 2h 59m ) | Size: 2 GB


Master advanced Apache Airflow techniques for automation, performance tuning, and secure workflow orchestration.
What you'll learn
Design and manage complex Apache Airflow workflows by implementing DAGs with advanced scheduling, dependencies, and optimizations.
Enhance data pipeline efficiency using partitioning, sharding, caching, and parallel processing techniques for large-scale datasets.
Optimize and scale Airflow deployments by configuring Celery/Kubernetes executors, improving load balancing, and ensuring high availability.
Secure and monitor Airflow environments by implementing
Requirements
No prior Apache Airflow experience needed - This course covers everything from the basics to advanced topics.
Basic Python knowledge is recommended - Familiarity with Python will help in writing DAGs and custom operators.
Understanding of data pipelines is helpful - Knowledge of ETL processes or workflow automation concepts can be beneficial.
Description
Apache Airflow is the leading open-source tool for orchestrating complex data workflows. This advanced course, "Expert Apache Airflow: Automation, Optimization & Security," is designed for data engineers, DevOps professionals, and workflow architects who want to master Airflow's advanced capabilities and real-world applications.You will dive deep into DAG optimization, custom operators, XComs, trigger rules, and SLAs to build efficient workflows. Learn how to monitor, scale, and optimize performance using Celery, Kubernetes, and advanced logging techniques. The course also covers integration with AWS, GCP, and Big Data technologies, enabling seamless automation of data pipelines and cloud environments.Security is a key focus, with hands-on lessons in authentication, role-based access control (RBAC), secure connections, and encryption to ensure safe and compliant workflows. Additionally, you will explore troubleshooting strategies, performance tuning, and real-world case studies from industries like finance, e-commerce, and healthcare.Each module includes hands-on projects, ensuring you gain practical experience implementing advanced Apache Airflow features. By the end of the course, you'll be equipped to build, scale, and secure high-performance workflow automation in any enterprise environment.Who should enroll?Data Engineers & ArchitectsDevOps & Cloud ProfessionalsWorkflow Automation EnthusiastsTake your Apache Airflow expertise to the next level and become an industry-ready workflow automation expert today!
Who this course is for
Data Engineers & ETL Developers - Professionals looking to automate and optimize data workflows using Apache Airflow.
Data Scientists & Analysts - Those who want to orchestrate machine learning pipelines and manage large-scale data processing.
Beginners in Data Engineering - Anyone curious about learning workflow orchestration and building expertise in Apache Airflow, even with no prior experience.
Homepage
https://www.udemy.com/course/mastering-apache-airflow-advanced-dags-scaling-hands-on/


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