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Published on

February 3, 2022

SQL Server’s Geo-Spatial Features: Storing and Querying Geographic Data

Geospatial data is becoming increasingly important in a wide variety of applications, optimizing everything from logistics and supply chain management to location-based marketing strategies. Microsoft’s SQL Server offers robust geospatial features that can help businesses and developers take full advantage of storing and querying geographic data. In this article, we’ll dive deep into SQL Server’s geospatial capabilities, exploring how you can utilize them to gain insights and optimize operations in your spatial data projects.

Introduction to Geo-Spatial Data in SQL Server

SQL Server is a relational database management system (RDBMS) developed by Microsoft. It is used to store, manage, and retrieve data as requested by other software applications. As data becomes increasingly interconnected with geographic components, SQL Server has expanded its functionality to include geospatial data types and methods that store and operate on geographic and geometric data.

Understanding Geospatial Data Types

Geospatial data describes data that is related to locations on the Earth’s surface. In SQL Server, the two main geospatial data types used to represent this kind of data: geometry and geography.

  • Geometry: Represents data in a flat coordinate system. Usually used for planar, or
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Geo-Spatial SQL Functions, Geographic Data, Geospatial Data Types, Geospatial Features, GIS, Spatial Data Analysis, Spatial Database, spatial queries, SQL Server, SQL Server Spatial Indexing

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