# Infrastructure Data Quality - Enhancing Data Quality and Infrastructure Efficiency in Data Engineering (Day 2 Lecture)

> In this lecture, the importance of data quality and infrastructure efficiency in data engineering is discussed, highlighting common misconceptions and challenges faced by data engineers in ensuring data correctness. The need for comprehensive data sets and proper documentation to build trust with s…

- Web page: https://julie.techexpert.io/lesson/infra-data-quality-day-2-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: 57 min video
- Skills: Data Modeling, ETL/ELT, Airflow, Data Warehousing, Git, CI/CD
- Academy: Julies academy to catch all other programs

## About this lesson

In this lecture, the importance of data quality and infrastructure efficiency in data engineering is discussed, highlighting common misconceptions and challenges faced by data engineers in ensuring data correctness. The need for comprehensive data sets and proper documentation to build trust with stakeholders is emphasized, along with the significance of infrastructure efficiency and being a good neighbor in terms of resource utilization. Insights and practical tips to address these issues are provided throughout the video.

## Navigation

- Previous lesson: [Infrastructure Data Quality - Setting Up CI/CD with GitHub Actions for Data Quality Assurance (Day 2 Lab) ](https://julie.techexpert.io/lesson/infra-data-quality-day-2-lab-v2.md)
- Next lesson: [Analytics Data Quality - Mitigating Poor Data Quality: Causes, Contracts, and Row Count Thresholds (Day 2 Lecture)](https://julie.techexpert.io/lesson/analytics-data-quality-day-2-lecture-v2.md)