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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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Toc

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

What data is produced by the application?

The following table summarizes the data that is produced by the application:

Stakeholder Outputs
Customers The customer's main interest is to view a list of available properties based on location and date.
Partners Partners are most interested in bookings; that is, which room types are booked on what dates. They are also interested in payments that have been processed.
Admins Administrative assistants need to review statistics that might cause them to recommend partner revenue splits to be upgraded or a customer being given bigger booking discounts.
Management Management is interested in financial reports as Book Someplace gets a percentage of every booking with a confirmed payment. In addition, Management needs reports that correlate earnings against customer demographics, and the same for partner demographics. Management can then make decisions about marketing to improve earnings among demographics that might have been overlooked...
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