# Orchestration and Airflow Fundamentals Lab

> In this video, Zach walks through the first lab of the Spring Data Engineering Bootcamp, focusing on idempotent pipelines, performance optimizations, and Airflow DAGs. The structure of the AirflowDBT project is explained, along with effective methods for creating and managing DAGs. Additionally, th…

- Web page: https://www.dataexpert.io/lesson/orchestration-and-airflow-fundamentals-day-1-lab-may2025
- Program: [Building Pipelines with Iceberg and Airflow](https://www.dataexpert.io/program/data-pipelines-with-airflow-and-iceberg)
- Access: Requires enrollment in Building Pipelines with Iceberg and Airflow
- Length: 1 h 10 min video
- Skills: Python, Data Modeling, ETL/ELT, Apache Spark, Airflow, Data Warehousing, AWS
- Academy: DataExpert.io Academy

## About this lesson

In this video, Zach walks  through the first lab of the Spring Data Engineering Bootcamp, focusing on idempotent pipelines, performance optimizations, and Airflow DAGs. The structure of the AirflowDBT project is explained, along with effective methods for creating and managing DAGs. Additionally, the video demonstrates how to handle data processing using AWS Glue and Spark, highlighting the significance of developing idempotent pipelines.

## Navigation

- Previous lesson: [Orchestration and Airflow Fundamentals Lecture](https://www.dataexpert.io/lesson/orchestration-and-airflow-fundamentals-day-1-lecture-may2025.md)
- Next lesson: [Apache Iceberg Data Contracts Lecture](https://www.dataexpert.io/lesson/apache-iceberg-data-contracts-day-3-lecture-may2025.md)