Rating: 4.8 out of 5
Are you a data engineer, data scientist, python developer, or software engineer interested in mastering Apache Airflow? If so, this comprehensive course is just for you! Apache Airflow is an open-source platform used for workflow automation, scheduling, and orchestration of complex data pipelines. As data volumes and complexity continue to grow, the need for efficient and scalable data processing and management is critical. By taking this course, you’ll learn the ins and outs of using Apache Airflow to build and manage data pipelines, schedule and trigger tasks, monitor and troubleshoot workflows, and integrate with various data sources and services.
This course covers a wide range of topics, such as Apache Airflow basics, Docker and Docker Commands, building and managing workflows, scheduling and triggering tasks, using operators and sensors, integrating with cloud platforms like Azure and AWS, creating custom operators and sensors, handling dependencies and task retries, and scaling and optimizing the platform using Celery Executors. Throughout the journey, you’ll work on practical exercises and projects to apply the concepts you learn. By the end of the course, you’ll have a strong understanding of Apache Airflow and the skills to build and manage complex data workflows. So, are you ready to dive into the world of Apache Airflow and elevate your data processing game?
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Skills you’ll learn
- Building and managing workflows with Apache Airflow
- Scheduling and triggering tasks in Apache Airflow
- Creating custom operators and sensors
- Handling dependencies and task retries
- Monitoring and troubleshooting workflows
- Integrating with data sources and services (AWS, Azure, Web APIs)
- Scaling and optimizing Apache Airflow for large-scale data processing
- Securing Dags Connections using Fernet Keys
Embark on a comprehensive journey to master Airflow, guided by the talented instructor Sourabh Sahu. With an impressive 4.8-star rating and over 2,300 students enrolled, this course expertly takes you through 13 engaging lessons – ensuring you transform from a beginner to an advanced Airflow adept while working on practical projects. Don’t miss this golden opportunity to become an Airflow maestro!