Run optimized geospatial queries with Trino

Trino, an open-source distributed query engine, is adept at running geospatial queries across various data sources without needing extensive data modeling, making it ideal for tasks like ad-hoc analysis. It is OpenGIS compliant and supports a broad range of geospatial functions, facilitating the unification and joining of geospatial data from multiple sources. The text outlines two methods for optimizing geospatial queries using Trino: leveraging its native geospatial support and utilizing Bing tiles for more efficient data segmentation and retrieval. An example demonstrates the use of Trino’s Hive connector to run queries on large datasets, like a public ride-sharing dataset, showcasing techniques such as bounding boxes and Bing tile segmentation to enhance query performance and reduce data read times. By applying these methods, significant improvements in query response times are achieved, highlighting Trino's capability to efficiently handle geospatial workloads on data lakes.