Wistia Video kmmmbjnqod

Unlock full-scale analytics and a rock-solid data strategy with DuckDB on the server. Ollie walks us through a live demo using BigQuery taxi data, removing the default 10k row limit to extract a full million rows, and comparing browser vs. server execution. We’ll tweak row limits, leverage Count servers’ caching, and see how both SQL and low-code cells run seamlessly on the server for accurate, large-scale queries. By offloading heavy lifting to DuckDB servers and fine-tuning cache settings, we reduce database pressure, cut compute costs, and streamline collaboration across teams. With these tips, you’ll deliver faster insights, enhance data storytelling, maintain stakeholder alignment, and drive real business impact in your analytics workflows.