Скачать или смотреть Apache Airflow Concepts and Components | Lecture 2 | Apache Airflow Tutorial

Join us on a captivating journey through the intricate world of Apache Airflow! In this comprehensive 20-minute video, we unravel the core concepts and components that make Apache Airflow an indispensable tool for modern data orchestration.

🚀 Key Takeaways:

Introduction to Apache Airflow: Discover why Apache Airflow is a game-changer for automating, scheduling, and monitoring data workflows in today's data-driven landscape.

Directed Acyclic Graphs (DAGs): Dive deep into the power of DAGs and learn how they provide structure and clarity to your data pipelines.

Operators and Tasks: Explore the fundamental building blocks that define what your tasks do and how they do it, with practical insights into custom operator development.

Sensors and Hooks: Uncover the secrets of sensors, enabling your workflows to respond intelligently to external conditions, and hooks that facilitate seamless connections with external systems.

Executors and Scaling: Get a comprehensive view of executors and learn how to configure them for optimal task execution, scalability, and resource allocation.

Workflow Dependencies: Master the art of defining complex task dependencies and handling dynamic workflows with agility.

Connections and Variables: Safeguard your data and enhance efficiency by securely managing sensitive information and configuration settings.

This video is a must-watch for data professionals, data engineers, and anyone looking to supercharge their data workflow management. Whether you're a beginner or an experienced user, you'll gain valuable insights that will empower you to harness the full potential of Apache Airflow.

🎓 Ready to become an Airflow pro? Hit that play button, and let's embark on this educational journey together!

🔔 Don't forget to subscribe, like, and share this video with your colleagues and friends. Stay tuned for more advanced Airflow tutorials and expert tips.

Timestamps:

1:11 DAGs in Airflow
4:01 Introduction to Airflow UI
10:00 Operators and Tasks
11:37 Sensors and Hooks
13:50 Executers and Workflow Dependencies
16:54 Connections and Variables


#ApacheAirflow #DataOrchestration #WorkflowAutomation #DataEngineering #DataManagement #TechTutorial #DataPipeline

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Also check out our full Apache Hadoop course:
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Audience

This tutorial has been prepared for professionals/students aspiring to learn deep knowledge of Big Data Analytics using Apache Spark and become a Spark Developer and Data Engineer roles. In addition, it would be useful for Analytics Professionals and ETL developers as well.

Prerequisites

Before proceeding with this full course, it is good to have prior exposure to Python programming, database concepts, and any of the Linux operating system flavors.

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