# Data Quality Patterns: MIDAS Process from Airbnb Day 1 Lecture

> In this presentation, we delve into the pivotal role of data quality in the realm of analytics engineering, unraveling its profound impact on the success of data pipelines. The discussion underscores the necessity for automated data quality checks, shedding light on the challenges encountered by da…

- Web page: https://learn.dataexpert.io/lesson/data-quality-patterns-day-1-lecture-yt
- Program: [Boot Camp: Community Edition](https://learn.dataexpert.io/program/free-community-boot-camp)
- Module: Data Quality Patterns
- Access: Requires enrollment in Boot Camp: Community Edition
- Length: 45 min video
- Skills: SQL, Python, Data Modeling, ETL/ELT, Data Warehousing
- Academy: DataExpert.io Community Academy

## About this lesson

In this presentation, we delve into the pivotal role of data quality in the realm of analytics engineering, unraveling its profound impact on the success of data pipelines. The discussion underscores the necessity for automated data quality checks, shedding light on the challenges encountered by data engineers in their quest for ensuring data accuracy.

## Navigation

- Previous lesson: [KPIs and Experimentation: Leading and Lagging Metrics Day 2 Lecture](https://learn.dataexpert.io/lesson/kpis-and-experimentation-day-2-lecture-yt.md)
- Next lesson: [Data Quality Patterns: Spec-Building Document Day 1 Lab](https://learn.dataexpert.io/lesson/data-quality-patterns-day-1-lab-yt.md)