# Advanced Data Pipeline Maintenance - Signals of Technical Debt, Data Migration Models, and On-Call Best Practices (Day 2 Lecture)

> In this lecture, we explore further aspects of data pipeline maintenance, identifying signals of technical debt in data engineering, data migration models, and best practices for proper on-call responsibilities.

- Web page: https://julie.techexpert.io/lesson/pipeline-maintenance-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 6: Data Pipeline Maintenance V2
- Access: Requires enrollment in Data Engineering Boot Camp V2 Combined Track
- Length: 1 h 37 min video
- Skills: MLOps, ETL/ELT, Data Warehousing, Cloud Platforms
- Academy: Julies academy to catch all other programs

## About this lesson

In this lecture, we explore further aspects of data pipeline maintenance, identifying signals of technical debt in data engineering, data migration models, and best practices for proper on-call responsibilities.

## Navigation

- Previous lesson: [Applying KPIs and Experimentation - Leading vs. Lagging Metrics and the Power of Funnels in Data Analysis (Day 2 Lecture) ](https://julie.techexpert.io/lesson/kpi-metrics-day-2-lecture-v2.md)
- Next lesson: [Data Pipeline Maintenance - Challenges, Ownership Models, and Team Structures (Day 1 Lecture) ](https://julie.techexpert.io/lesson/pipeline-maintenance-day-1-lecture-v2.md)