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)
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

What data goes into the application?

Continuing your review, the next piece of information you might consider is what information goes into the application. As with outputs, inputs to your application can take many forms, including the following:

  • HTML forms
  • Data obtained from external web services (for example, Google Maps)
  • Streaming data (for example, the real-time location of warehouse workers)

It is useful to examine what form of input to expect from members of the different groups outlined in the previous section. Here is an example of what activities each group might perform to produce inputs:

Group Input-Producing Activities
Casual website visitors All clicks are registered as product-interest data.
Making purchases, generating purchase data.
Members Reading up on products, giving management an idea of which products are trending upward.
Making purchases, generating purchase data.
Administrative assistants Entering product information.
Updating inventory information as...