In this chapter, you first learned how to use MongoDB Compass to connect to the database and to model complex queries. You then learned how to copy the resulting JSON into a Python script to run the query. Next, you learned about the MongoDB aggregation framework, consisting of a series of pipeline stage operators, which allow you to perform various aggregation operations such as grouping, filtering, and so forth. You also learned about pipeline operators, which can perform operations on the data in the pipe, including conversions, summation, and even adding new fields. You were then shown a brief section on Map-Reduce functions, which allow you to perform operations very similar to that of the aggregation framework but using JavaScript functions instead.
The next section showed you how to work with MongoDB geospatial data. You learned about GeoJSON objects, and the two types of indexes and models supported: flat or spherical. You then stepped through a sample query...
