Building Data Pipelines with Airflow

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About Course

This course teaches participants how to build, manage, and scale data pipelines using Apache Airflow to handle large datasets. It covers key concepts like DAGs, tasks, operators, and advanced topics such as workflow automation and error handling. Key Learning Objectives: Build data processing frameworks. Set up and manage data pipelines. Handle pipeline failures and ensure data quality.

Instructor

Kan Ouivirach

Data Product Developer and Technical Enabler

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Course Outline

building-data-pipelines-with-airflow.pdf

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Who this course is for ?

Data Engineers – looking to build automated data pipelines for largescale data
Developers – working with data teams or managing data platforms
Data Analysts & Scientists – looking to overcome database limitations and answer business questions

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