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MongoDB Fundamentals

You're reading from MongoDB Fundamentals

Product type Book

Published in Dec 2020

Publisher Packt

ISBN-13 9781839210648

Pages 748 pages

Edition 1st Edition

Languages

Concepts

Authors (4):

Amit Phaltankar

Juned Ahsan

Michael Harrison

Liviu Nedov

View More author details

Table of Contents (15) Chapters

Preface

1. Introduction to MongoDB

2. Documents and Data Types

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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Authors (4)

Amit Phaltankar

Amit Phaltankar is a software developer and a blogger experienced in building lightweight and efficient software components. He specializes in wiring web-based applications and handling large-scale data sets using traditional SQL, NoSQL, and big data technologies. He is experienced in many technology stacks and loves learning and adapting to newer technology trends. Amit is passionate about improving his skill set and loves guiding and grooming his peers and contributing to blogs. He is also an author of MongoDB Fundamentals.

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Juned Ahsan

Juned Ahsan is a software professional with more than 14 years of experience. He has built software products and services for companies and clients such as Cisco, Nuamedia, IBM, Nokia, Telstra, Optus, Pizzahut, AT&T, Hughes, Altran, and others. Juned has a vast experience in building software products and architecting platforms of different sizes from scratch. He loves to help and mentor others and is a top 1% contributor on StackOverflow. He is passionate about cognitive CX, cloud computing, artificial intelligence, and NoSQL databases.

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Michael Harrison

Michael Harrison started his career at the Australian telecommunications leader Telstra. He worked across their networks, big data, and automation teams. He is now a lead software developer and the founding member of Southbank Software, a Melbourne based startup that builds tools for the next generation of database technologies.

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Liviu Nedov

Liviu Nedov is a senior consultant with more than 20 years of experience in database technologies. He has provided professional and consulting services to customers in Australia and Europe. Throughout his career, he has designed and implemented large enterprise projects for customers like Wotif Group, Xstrata Copper/Glencore, and the University of Newcastle and Energy, Queensland. He is currently working at Data Intensity, which is the largest multi-cloud service provider for applications, databases, and business intelligence. In recent years, he is actively involved in MongoDB NoSQL database projects, database migrations, and cloud DBaaS (Database as a Service) projects.

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