After experiencing weekly CDC failures caused by transaction log issues and logs suddenly chewing up disk space, I found myself repeatedly investigating the same questions: Why is the log so large?

This project implements an ETL (Extract, Transform, Load) pipeline in Python using DuckDB to process and analyze log records (in JSON format). The system extracts the data, calculates usage and ...

So I'm trying to figure out when I should be backing my transaction logs relative to my full/diffs. It seems like right after would be when I'd want to have the checkpoint happen, or does it really ...