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Creating Data Pipelines with Airflow

Join Mike, an experienced data engineering consultant, as he guides you through the fundamentals of data pipelines with Airflow and Python.
Mike Metzger
Mike Metzger

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Apache Airflow is an essential tool for managing complex software workflows, ensuring data quality, and facilitating scalable data operations. Whether you're just starting out or aiming to refine your existing skills, this session will enhance your ability to orchestrate robust data pipelines efficiently.

Join Mike, an experienced data engineering consultant, as he guides you through the fundamentals of data pipelines with Airflow and Python. In this interactive session, you will learn how to design, execute, and monitor data pipelines that can handle both batch and real-time data processing. Mike will demonstrate practical examples, share best practices, and provide insights on optimizing your data workflows

Key Takeaways:

  • Understand how data pipelines can be used to improve the robustness and quality of data workflows.
  • Learn how to get started creating data pipelines with Apache Airflow.
  • Learn how to monitor the performance of data pipelines.

Check out additional Data Engineering and Airflow resources! 

Темы

Data ScienceData Engineering

Связанное

Учебное руководство

Getting Started with Apache Airflow

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