You don’t notice the problem right away. Everything runs smoothly in MySQL… until a new report shows up. Then queries slow down, dashboards lag, and you start realizing you’re stretching the database beyond what it’s good at. That’s usually when BigQuery enters the picture. So the real question becomes: How do you actually move data between them without turning it into a side project? Let’s walk through the three approaches that people actually use — and where each one makes sense. First, a quick reality check Before tools, there are two ideas worth keeping in mind. ELT > ETL (most of the time) Old approach: transform before loading. Modern approach: load first, transform later. BigQuery is built for heavy lifting. MySQL isn’t. So it usually makes more sense to move raw data first and shape it inside the warehouse. Most teams end up here anyway, even if they don’t call it ELT. CDC is what changes everything If you only remember one thing from this article, make it this. Batch pipelines reload data.…