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Learn MongoDB 4.x

Learn MongoDB 4.x

By : Bierer
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Learn MongoDB 4.x

Learn MongoDB 4.x

By: Bierer

Overview of this book

When it comes to managing a high volume of unstructured and non-relational datasets, MongoDB is the defacto database management system (DBMS) for DBAs and data architects. This updated book includes the latest release and covers every feature in MongoDB 4.x, while helping you get hands-on with building a MongoDB database app. You’ll get to grips with MongoDB 4.x concepts such as indexes, database design, data modeling, authentication, and aggregation. As you progress, you’ll cover tasks such as performing routine operations when developing a dynamic database-driven website. Using examples, you’ll learn how to work with queries and regular database operations. The book will not only guide you through design and implementation, but also help you monitor operations to achieve optimal performance and secure your MongoDB database systems. You’ll also be introduced to advanced techniques such as aggregation, map-reduce, complex queries, and generating ad hoc financial reports on the fly. Later, the book shows you how to work with multiple collections as well as embedded arrays and documents, before finally exploring key topics such as replication, sharding, and security using practical examples. By the end of this book, you’ll be well-versed with MongoDB 4.x and be able to perform development and administrative tasks associated with this NoSQL database.
Table of Contents (22 chapters)
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1
Section 1: Essentials
5
Section 2: Building a Database-Driven Web Application
9
Section 3: Digging Deeper
13
Section 4: Replication, Sharding, and Security in a Financial Environment
14
Working with Complex Documents Across Collections

Summary

In this chapter, you learned how to break down customer requirements by determining what needs to come out of the proposed application. From this breakdown, you were able to deduce what needs to go into the application by way of form submissions, data obtained from web service calls, and so on. Finally, you were given guidance on how to determine what needs to be stored.

The next section showed you how to create MongoDB document structures in JSON format after analyzing the needs of Sweets Complete Inc. From there, you went on to learn how to convert the JSON documents into Python classes. In each case, the Python entity classes included a sample demo script showing you how the entity class can be used. In addition, you were shown how to develop an appropriate unit test for the new class.

In the next chapter, you will learn how to apply your Python knowledge to the task of performing critical database tasks, such as adding, editing, and deleting documents, as well as basic queries...

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