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Learn MongoDB 4.x

You're reading from   Learn MongoDB 4.x A guide to understanding MongoDB development and administration for NoSQL developers

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Product type Paperback
Published in Sep 2020
Publisher Packt
ISBN-13 9781789619386
Length 610 pages
Edition 1st Edition
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Author (1):
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Doug Bierer Doug Bierer
Author Profile Icon Doug Bierer
Doug Bierer
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Table of Contents (22) Chapters Close

Preface 1. Section 1: Essentials
2. Introducing MongoDB 4.x FREE CHAPTER 3. Setting Up MongoDB 4.x 4. Essential MongoDB Administration Techniques 5. Section 2: Building a Database-Driven Web Application
6. Fundamentals of Database Design 7. Mission-Critical MongoDB Database Tasks 8. Using AJAX and REST to Build a Database-Driven Website 9. Section 3: Digging Deeper
10. Advanced MongoDB Database Design 11. Using Documents with Embedded Lists and Objects 12. Handling Complex Queries in MongoDB 13. Section 4: Replication, Sharding, and Security in a Financial Environment
14. Working with Complex Documents Across Collections 15. Administering MongoDB Security 16. Developing in a Secured Environment 17. Deploying a Replica Set 18. Replica Set Runtime Management and Development 19. Deploying a Sharded Cluster 20. Sharded Cluster Management and Development 21. Other Books You May Enjoy

Summary

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...

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