Five Ways to Make Your Analytic Database Glacially Slow (And How to Avoid Them)

We all dream of analytics that gracefully deliver real-time results to delighted users. It’s a beautiful thought, but real systems often perform more like slugs than gazelles. This talk covers the 5 top performance killers and explains the underlying behavior that makes them so slow. They include picking the wrong database in the first place, bad input batching, bad schema, queries that parallelize poorly, and going cheap on resources. If you avoid these problems, you might still not be a gazelle. But nobody will call you a slug.