# Airflow Data Quality (Day 2 Lab)

> In this lab, Zach explains how automated data quality checks work. He discusses the process of running checks on an output table, ensuring that certain columns are not null, and executing Trino queries to validate the results. He also covers the steps involved in inserting and cleaning up data, as…

- Web page: https://www.dataexpert.io/lesson/airflow-data-quality-day-2-lab-v4
- Program: [Data Engineering Mastery Course](https://www.dataexpert.io/program/data-engineering-mastery-course)
- Module: Week 3: Airflow and Airflow Data Quality
- Access: Requires enrollment in Data Engineering Mastery Course
- Length: 24 min video
- Skills: Python, ETL/ELT, Airflow
- Academy: DataExpert.io Academy

## About this lesson

In this lab, Zach explains how automated data quality checks work. He discusses the process of running checks on an output table, ensuring that certain columns are not null, and executing Trino queries to validate the results. He also covers the steps involved in inserting and cleaning up data, as well as the challenges we faced with permissions. [Recorded on May23rd, 2024]

## Navigation

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