Monday, June 17, 2019

Top 5 MongoDB Books for fresher to Learn

In this post you will know The Best MongoDb books for fresher and experienced Database developers to learn from Basics to Advanced Level. The following are the Best Books to read:



MongoDB in Action follows this to a tee with 480 pages full of exercises and practical uses for Mongo in the real world.

Currently in its 2nd edition this book is fully updated with Mongo v3.x and it covers a lot of the newer features. This should be the go-to guide for anyone hoping to learn Mongo through actual practice.

You’ll learn about indexes, queries, data modeling, and basic text searching along with more technical ideas like Map-Reduce.

A big goal of Mongo is scalability and this book forces you to think about the big picture every step of the way. You’ll learn how to use Mongo with real applications and the practice lessons are surprisingly detailed considering how much there is to learn.

Absolutely recommend this book for its clean writing and exquisite code samples. It works great as an intro guide but also works well for SQL users who want to transition into MongoDB.





A nice starting point is MongoDB Basics written by by Peter Membrey. This is a true NoSQL introductory book written for people who have never used Mongo or a NoSQL structure in their life.

You’ll learn what makes MongoDB so interesting and why it stands out in a sea of other database engines. You’ll also learn how to install Mongo locally and how to design your applications with a MongoDB setup

The first two chapters cover a lot of theory but later you dive into practical hands-on experience setting up and configuring MongoDB from scratch. This is crucial if you want to truly understand the database environment.

It does help if you already have NoSQL experience but it’s certainly not required. This book really does cover just the basics so it also won’t take you very far.

I recommend this for absolute beginners and non-technical developers who want an easy-to-read introduction to the Mongo environment.


This book spans 430+ pages of detailed explanations and tutorials you can follow to learn the ropes of a Mongo setup.

Kristina is actually a core contributor to the MongoDB project so she knows a thing or two about this database engine. Throughout this book you’ll learn how to process data and how to structure document-oriented database engines from scratch.

Early chapters follow really simple guides to keep you engaged in the book. However you’ll soon get to very complex queries for aggregating data, grouping documents, and tracking datasets for certain statistics.

The table-based structure of a relational database isn’t rivaled with NoSQL. If you already spent time Learning SQL you may find that knowledge does apply slightly, but Mongo is a whole different world of data management.

I do recommend this for beginners although it can feel very technical. Just be willing to put in some work if you’re serious about getting through these lessons.


With Data Modeling for MongoDB you’ll get a deep dive into the process of professional data modeling for NoSQL. This requires a very analytical eye to understand how data should be organized and how it’ll be used in the application.

Throughout each chapter you’ll learn tons of new techniques for using MongoDB objects and the basic CRUD techniques for DB connections.

The very last chapter covers a few case studies so you can see how data modeling could work on live projects. This book is made for semi-experienced devs who know a little about Mongo and want to get into the practical usage for real applications.

Some devs consider data modeling to be the most important step before anything else. Assuming that’s the case then you’ll definitely want to work through this book before crafting your own Mongo-powered application.


This book is very short with less than 100 pages. But it’s also incredibly detailed and wastes no time diving right into the action.

You’ll start by learning about sharding and splitting up data/queries. Then you’ll delve into how clusters work and how you can setup clusters in a Mongo environment. The later chapters cover DB administration and how you can organize MongoDB for an easier time scaling your webapp.

These topics can be found online for free but not in this much detail. It’s one reason I still recommend this book because it actually covers a lot of ground in a short amount of time.

Be warned these lessons are technical so you need to feel comfortable building MongoDB apps before making the move into scaling.

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