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MongoDB Fundamentals

You're reading from   MongoDB Fundamentals A hands-on guide to using MongoDB and Atlas in the real world

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Product type Paperback
Published in Dec 2020
Publisher Packt
ISBN-13 9781839210648
Length 748 pages
Edition 1st Edition
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Concepts
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Authors (4):
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Juned Ahsan Juned Ahsan
Author Profile Icon Juned Ahsan
Juned Ahsan
Liviu Nedov Liviu Nedov
Author Profile Icon Liviu Nedov
Liviu Nedov
Amit Phaltankar Amit Phaltankar
Author Profile Icon Amit Phaltankar
Amit Phaltankar
Michael Harrison Michael Harrison
Author Profile Icon Michael Harrison
Michael Harrison
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Toc

Table of Contents (15) Chapters Close

Preface
1. Introduction to MongoDB 2. Documents and Data Types FREE CHAPTER 3. Servers and Clients 4. Querying Documents 5. Inserting, Updating, and Deleting Documents 6. Updating with Aggregation Pipelines and Arrays 7. Data Aggregation 8. Coding JavaScript in MongoDB 9. Performance 10. Replication 11. Backup and Restore in MongoDB 12. Data Visualization 13. MongoDB Case Study Appendix

The MongoDB Deployment Model

MongoDB can run on a variety of platforms, including Windows, macOS, and different flavors of Linux. You can install MongoDB on a single machine or a cluster of machines. Multiple machine installation provides high availability and scalability. The following list details each of these installation types:

Standalone

Standalone installation is a single-machine installation and is meant mainly for development or experimental purposes. You can refer to the Preface for the steps to install MongoDB on your system.

Replica Set

A replica set in MongoDB is a group of processes or servers that work together to provide data redundancy and high availability. Running MongoDB as a standalone process is not highly reliable because you may lose access to your data due to connectivity issues and disk failures. Using a replica set solves these problems as the data copies are stored on multiple servers. It requires at least three servers in a cluster. These servers are configured as the primary, secondaries, or arbiters. You will learn more about the replica set and its benefits in Chapter 9, Replication.

Sharded

Sharded deployments allow you to store the data in a distributed way. They are required for applications that manage massive data and expect high throughput. A shard contains a subset of the data, and each shard must use a replica set to provide redundancy of the data that it holds. Multiple shards working together provide a distributed and replicated dataset.

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