Book Image

Learn MongoDB 4.x

By : Doug Bierer
Book Image

Learn MongoDB 4.x

By: Doug 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)
Section 1: Essentials
Section 2: Building a Database-Driven Web Application
Section 3: Digging Deeper
Section 4: Replication, Sharding, and Security in a Financial Environment
Working with Complex Documents Across Collections


In this chapter, you learned how to review the requirements of an online booking agency with complex needs. You then learned that, due to the object-oriented nature of MongoDB, the document structure design process is completely free of the constraints imposed by legacy two-dimensional RDBMS tables. Accordingly, you can really dig deep into customer requirements and design subclasses from a very low level. These reusable data structures can then be group together like building blocks to form complex data structures. Once defined, you learned how easy it is to translate these structures into Python entity modules and classes. 

You then learned how to define domain service classes that consume a MongoDB client and contain key methods needed by the web application. Finally, you learned how to modify a basic Django application so that it uses mod_wsgi under Apache. You were then shown how to incorporate the property domain service class to display a list of the top 10 properties...