Navigating Challenges in Data Engineering and Change Data Capture

Exploring the importance of understanding technologies in data engineering, this chapter delves into anti-patterns related to change data capture and streaming. Discussions cover issues like communication gaps between analytics teams and DBAs, challenges with database replication, and recommendations for handling column-level changes effectively.