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Learn MongoDB 4.x
Learn MongoDB 4.x

Learn MongoDB 4.x: A guide to understanding MongoDB development and administration for NoSQL developers

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€18.99 per month
Paperback Sep 2020 610 pages 1st Edition
eBook
€8.99 €26.99
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€32.99
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Arrow left icon
Profile Icon Bierer
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€18.99 per month
Paperback Sep 2020 610 pages 1st Edition
eBook
€8.99 €26.99
Paperback
€32.99
Subscription
Free Trial
Renews at €18.99p/m
eBook
€8.99 €26.99
Paperback
€32.99
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Renews at €18.99p/m

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Table of content icon View table of contents Preview book icon Preview Book

Learn MongoDB 4.x

Section 1: Essentials

This section is designed to give you a high-level overview of MongoDB 4.x. In this section, you are introduced to the first of three realistic scenarios, a fictitious company called Sweets Complete, Inc. These scenarios are representative of real-life companies and are designed to show how MongoDB can be incorporated into various types of businesses.

In this section, you'll learn about the key differences between MongoDB 3 and 4. You will learn not only how to install MongoDB 4.x for a future customer, but also how to set up an environment based upon Docker technology that you can use throughout the remainder of the book in order to run the examples. You will also learn basic MongoDB administration using the mongo shell.

This section contains the following chapters:

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Key benefits

  • Build a powerful and scalable MongoDB database using real industry data
  • Understand the process of designing NoSQL schema with the latest release of MongoDB 4.x
  • Explore the ins and outs of MongoDB, including queries, replication, sharding, and vital admin tasks

Description

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.

Who is this book for?

This book is a MongoDB tutorial for DevOps engineers, database developers, database administrators, system administrators and those who are just getting started with NoSQL and looking to build document-oriented databases and gain real-world experience in managing databases using MongoDB. Basic knowledge of databases and Python is required to get started with this DBMS book.

What you will learn

  • Understand how to configure and install MongoDB 4.x
  • Build a database-driven website using MongoDB as the backend
  • Perform basic database operations and handle complex MongoDB queries
  • Develop a successful MongoDB database design for large corporate customers with complex requirements
  • Secure MongoDB database systems by establishing role-based access control with X.509 transport-level security
  • Optimize reads and writes directed to a replica set or sharded cluster
  • Perform essential MongoDB administration tasks
  • Maintain database performance through monitoring

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Sep 11, 2020
Length: 610 pages
Edition : 1st
Language : English
ISBN-13 : 9781789619386
Vendor :
MongoDB
Category :
Concepts :
Tools :

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Product Details

Publication date : Sep 11, 2020
Length: 610 pages
Edition : 1st
Language : English
ISBN-13 : 9781789619386
Vendor :
MongoDB
Category :
Concepts :
Tools :

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Table of Contents

21 Chapters
Section 1: Essentials Chevron down icon Chevron up icon
Introducing MongoDB 4.x Chevron down icon Chevron up icon
Setting Up MongoDB 4.x Chevron down icon Chevron up icon
Essential MongoDB Administration Techniques Chevron down icon Chevron up icon
Section 2: Building a Database-Driven Web Application Chevron down icon Chevron up icon
Fundamentals of Database Design Chevron down icon Chevron up icon
Mission-Critical MongoDB Database Tasks Chevron down icon Chevron up icon
Using AJAX and REST to Build a Database-Driven Website Chevron down icon Chevron up icon
Section 3: Digging Deeper Chevron down icon Chevron up icon
Advanced MongoDB Database Design Chevron down icon Chevron up icon
Using Documents with Embedded Lists and Objects Chevron down icon Chevron up icon
Handling Complex Queries in MongoDB Chevron down icon Chevron up icon
Section 4: Replication, Sharding, and Security in a Financial Environment Chevron down icon Chevron up icon
Working with Complex Documents Across Collections Chevron down icon Chevron up icon
Working with Complex Documents Across Collections
Technical requirements
Introducing BigLittle Micro Finance Ltd.
Handling monetary data in MongoDB
User collection data structures
Loan collection data structure
Common collections
Storing financial data
Referencing documents across collections
Techniques for referencing documents across collections
The building block approach
Embedded documents
Document references
Database references (DBRefs)
$lookup aggregation pipeline stage
Practical example using document references
Gathering information to generate a loan proposal
Creating a loan document using document references
Practical example using the $lookup aggregation pipeline operator
Connecting two collections using $lookup
Producing Python code from the JSON query
Performing secondary updates
Accepting a loan payment
Django view logic for choosing the borrower
Django view logic for payment processing
Payment processing domain service methods
Loan payment view template
Defining code to process secondary updates
The publish/subscribe design pattern
Defining listeners for loan events
Event notification
Avoiding cross-collection problems
Ensuring uniqueness
Using ObjectId as a unique key
Defining a custom unique key
Enforcing uniqueness
Avoiding creating orphans across collections
Using embedded arrays to avoid orphans
Using embedded documents to avoid orphans
Keeping values properly synchronized
Uploading files into GridFS
Why use GridFS?
How to use GridFS from the command line
GridFS command-line options
GridFS commands
Command-line usage examples
PyMongo GridFS support
Example using GridFS to store loan documents
Summary
Administering MongoDB Security Chevron down icon Chevron up icon
Developing in a Secured Environment Chevron down icon Chevron up icon
Deploying a Replica Set Chevron down icon Chevron up icon
Replica Set Runtime Management and Development Chevron down icon Chevron up icon
Deploying a Sharded Cluster Chevron down icon Chevron up icon
Sharded Cluster Management and Development Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon
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