The Ultimate Guide to OpenStreetMap & BigQuery` is a comprehensive resource that explores the advantages and limitations of using OpenStreetMap (OSM) data for spatial analysis. OSM is a crowdsourced effort to map the world, offering a cost-effective, seamless, and comprehensive dataset. However, it also has its downsides, including uneven completeness, inconsistencies in tagging, and sizeable datasets that can incur storage and analysis costs. The guide provides an overview of how to access OSM data via Google's public BigQuery project, explaining the structure of the data, how to extract and use it, and some best practices for navigating the free-tagging system. It also highlights why Google Cloud Platform is a great solution for accessing OSM data, keeping everything cloud-native and avoiding painful ETL processes. The guide aims to empower users with the knowledge they need to make informed decisions about using OSM data in their Location Intelligence projects.