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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

Product type Paperback

Published in Dec 2020

Publisher Packt

ISBN-13 9781839210648

Length 748 pages

Edition 1st Edition

Tools

MongoDB

Concepts

Databases

Authors (4):

Juned Ahsan

Liviu Nedov

Amit Phaltankar

Michael Harrison

View More author details

Table of Contents (15) Chapters

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

Introduction

We have explored the basics of the MongoDB database in the cloud, and have seen how MongoDB is different from other databases. Chapter 2, Documents and Data Types explained the data structures used in MongoDB. By now, you know how to connect to your MongoDB Atlas Console and how to browse the database using Data Explorer. In this chapter, you will continue your journey into the world of MongoDB, and connect and access the new MongoDB database and discover its internal architecture and commands.

In today's world, internet and cloud computing are the main driving forces that dictate the rules for existing and future applications. So far, we have learned that MongoDB Atlas is a powerful cloud version of MongoDB, offering performance, security, and flexibility for clients. While cloud infrastructure provides many benefits for users, it also increases the security risk associated with data stored in the cloud. Cybersecurity incidents are frequently seen on the...

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Authors (4)

Amit Phaltankar

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.

See other products by Amit Phaltankar

Liviu Nedov

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.

See other products by Liviu Nedov

Michael Harrison

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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Juned Ahsan

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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