In this first installment of our blog series on Enterprise Spatial Analytics, we dive into one of the most potent yet underused features in ArcGIS Pro: Query Layers.
As organizations increasingly migrate their data infrastructure to modern cloud platforms like Snowflake, the ability to perform spatial analytics without moving or duplicating data becomes essential. This series will walk through how Esri’s ArcGIS platform integrates natively with cloud data warehouses, enabling real-time spatial intelligence at scale.
We’ll begin by exploring how ArcGIS Pro connects directly to Snowflake using query layers—allowing analysts and GIS professionals to build dynamic maps, perform spatial queries, and aggregate data using SQL—all without leaving the ArcGIS environment or replicating data.
