# Infrastructure Data Quality - Preemptive Data Quality Assurance: Integrating Software Engineering Best Practices (Day 1 Lecture) 

> In this presentation, we discuss techniques for preemptively identifying data quality issues before they enter production. We integrate software engineering best practices into data engineering to enhance our data quality assurance toolkit.

- Web page: https://julie.techexpert.io/lesson/infra-data-quality-day-1-lecture-v2
- Program: [Data Engineering Boot Camp V2 Combined Track](https://julie.techexpert.io/program/data-engineering-boot-camp-v2-combined-track)
- Module: Week 5: Infrastructure Data Quality V2
- Access: Requires enrollment in Data Engineering Boot Camp V2 Combined Track
- Length: 1 h 2 min video
- Skills: Data Modeling, ETL/ELT, Airflow, Data Warehousing, Statistics, CI/CD
- Academy: Julies academy to catch all other programs

## About this lesson

In this presentation, we discuss techniques for preemptively identifying data quality issues before they enter production. We integrate software engineering best practices into data engineering to enhance our data quality assurance toolkit.

## Navigation

- Previous lesson: [Analytics Data Quality - Overcoming Data Quality Challenges: Identifying Poor Data Sources and Setting Row Count Checks (Day 2 Lab)](https://julie.techexpert.io/lesson/analytics-data-quality-day-2-lab-v2.md)