Summary

This chapter covered three fundamental data engineering topics: Git and version control, data quality monitoring, and pipeline catch-up and recovery techniques. We began by covering the fundamentals of Git, focusing on its role in team collaboration and code management. The importance of continuously monitoring data quality was then discussed, along with key metrics and automated tools. Finally, we addressed the inevitability of pipeline failures and provided strategies for resilience and speedy recovery.

Now that you have a solid grasp of continuous improvement techniques, it’s time to move on to a subject that is essential in today’s data-driven world: data security and privacy. We’ll cover how to safeguard data assets, adhere to rules, and foster trust in the chapter that follows, all while making sure that data is available and usable for appropriate purposes.