Analyzing spatial data doesn't have to be a difficult task. In this course, Querying Geospatial Data from MongoDB, you’ll learn to execute geospatial queries in MongoDB. First, you’ll explore the concepts needed to understand the geospatial features of MongoDB. Next, you’ll discover how to store geospatial data in GeoJSON format. Finally, you’ll learn how to find places within a certain area and close to a point. When you’re finished with this course, you’ll have the skills and knowledge of MongoDB and geospatial data needed to execute geospatial queries efficiently.
Course Overview Hi, everyone. My name is Esteban Herrera. Welcome to my course, Querying Geospatial Data from MongoDB. I've been working with MongoDB and NoSQL databases for over 5 years, and I enjoy teaching all I know about this technology. MongoDB provides geospatial indexes and operators that allow you to create queries using GeoJSON, an open standard for representing geographical features. In this course, you are going to learn how to query geospatial data using MongoDB and GeoJSON. Some of the major topics that we will cover include the GeoJSON format, differentiate the purpose of the available geospatial query operators, query documents where a field contains coordinates that intersect a shape, and query documents where a field contains coordinates near a point. By the end of this course, you'll know how to execute geospatial queries in MongoDB. Before beginning the course, you should be familiar with MongoDB and the basics of NoSQL databases, things like making simple queries, and insert, update, and delete documents. No knowledge of geospatial concepts are needed. I hope you'll join me on this journey to learn about geospatial data and MongoDB with the Querying Geospatial Data from MongoDB course, at Pluralsight.