• views: 114
• date: 5 September 2025
• posted by: 0nelove

Automate your data pipelines with Apache Airflow. This hands-on course starts with the basics and builds up to real-world orchestration, from retries to Spark and external data ingestion.
What you'll learn
How to build and schedule workflows with Apache Airflow
Core concepts of DAGs, tasks, operators, and scheduling
Error handling, retries, and making workflows fault-tolerant
Ensuring idempotency and robustness in data pipelines
Using sensors to wait for external systems or events
Orchestrating Apache Spark jobs within Airflow
Connecting Airflow with external data sources
Ingesting data into a data lake with automation
Getting data from point A to point B is only part of the job. Making sure it gets there reliably, automatically, and at the right time? That's where Apache Airflow comes in.
This course teaches you how to turn messy, manual pipelines into clean, orchestrated workflows. You'll start simple - by understanding what Airflow does and how it works—then step into more advanced techniques like retries, handling failures gracefully, using sensors, and working with Apache Spark. You'll also learn how to automate data ingestion from outside sources into your data lake.
Whether you're just getting into data engineering or looking to sharpen your orchestration game, this course gives you the practical tools to make your data pipelines reliable and scalable.
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