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Mastering MongoDB 7.0

You're reading from Mastering MongoDB 7.0 Achieve data excellence by unlocking the full potential of MongoDB

Product type Paperback

Published in Jan 2024

Publisher Packt

ISBN-13 9781835460474

Length 434 pages

Edition 4th Edition

Languages

JavaScript

Tools

MongoDB

Concepts

Databases

Authors (7):

Rajesh Nair

Leandro Domingues

Mr. Elie Hannouch

Arek Borucki

Rachelle Palmer

Malak Abu Hammad

Marko Aleksendrić

+3 more

View More author details

Table of Contents (20) Chapters

Preface

1. Chapter 1: Introduction to MongoDB FREE CHAPTER

2. Chapter 2: The MongoDB Architecture

3. Chapter 3: Developer Tools

4. Chapter 4: Connecting to MongoDB

5. Chapter 5: CRUD Operations and Basic Queries

6. Chapter 6: Schema Design and Data Modeling

7. Chapter 7: Advanced Querying in MongoDB

8. Chapter 8: Aggregation

9. Chapter 9: Multi-Document ACID Transactions

10. Chapter 10: Index Optimization

11. Chapter 11: MongoDB Atlas: Powering the Future of Developer Data Platforms

12. Chapter 12: Monitoring and Backup in MongoDB

13. Chapter 13: Introduction to Atlas Search

14. Chapter 14: Integrating Applications with MongoDB

15. Chapter 15: Security

16. Chapter 16: Auditing

17. Chapter 17: Encryption

18. Index

Why subscribe?

19. Other Books You May Enjoy

The MongoDB Architecture

MongoDB enables you to meet the demands of modern apps with a developer data platform built on several core architectural foundations. It lets you access the best ways to innovate in building transactional, operational, and analytical applications. This chapter examines the MongoDB architecture with a special emphasis on two key elements: replication and sharding.

Replication is a crucial component in MongoDB's distributed architecture, ensuring data accessibility and resilience to faults. It enables you to spread identical datasets across various database servers, safeguarding against the failure of a single server.

Additionally, you will learn about sharding, a horizontal scaling strategy for spreading data across several machines. As applications grow in popularity, and the volume of data they produce increases, scaling across machines becomes essential to ensure sufficient read and write throughput.

This chapter will cover the following topics...

The rest of the chapter is locked

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Authors (7)

Marko Aleksendrić

Marko Aleksendrić

Marko Aleksendrić is an analyst, a scientist, and a freelance self-taught web developer with over 20 years of experience. Marko has authored the book Modern Web Development with the FARM Stack and Mastering MongoDB 7.0, published by Packt Publishing. With a keen interest in backend and frontend development, he has been an avid MongoDB user for the last 15 years for various web and data analytics-related projects and has built numerous Python and JavaScript web applications and tools.

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Rajesh Nair

Rajesh Nair

Rajesh Nair is a software professional from Kerala, India, with over 12 years of experience working in various MNCs. He started his career as a database administrator for multiple RDBMS technologies, including Progress OpenEdge and MySQL. Rajesh also managed huge datasets for critical applications running on MongoDB as a MongoDB administrator for several years. He has worked on technologies such as MongoDB, AWS, Java, Kafka, MySQL, Progress OpenEdge, shell scripting, and Linux administration. Rajesh is currently based out of Amsterdam, Netherlands, working as a senior software engineer.

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Elie Hannouch

Elie Hannouch

Elie Hannouch is a senior software engineer and digital transformation expert. A driving force in the tech industry, he has a proven track record of delivering robust, scalable, and impactful solutions. As a start-up founder, Elie combines his extensive engineering background with strategic innovation to redefine how enterprises operate in today's digital age. Apart from being a MongoDB Champion, Elie leads the MongoDB, Google, and CNCF communities in Lebanon and works toward empowering aspiring tech professionals by demystifying complex concepts and inspiring a new generation of tech enthusiasts.

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Malak Abu Hammad

Malak Abu Hammad

Malak Abu Hammad is a seasoned software engineering manager at Chain Reaction, with a decade of expertise in MongoDB. She has carved a niche for herself not only in MongoDB but also in essential web app technologies. Along with conducting various online and offline workshops, Malak is a MongoDB Champion and a founding member of the MongoDB Arabic Community. Her vision for MongoDB is a future with an emphasis on Arabic localization, aimed at bridging the gap between technology and regional dialects.

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Leandro Domingues

Leandro Domingues

Leandro Domingues is a MongoDB Community Champion and a Microsoft Data Platform MVP alumnus. Specializing in NoSQL databases, focusing on MongoDB, he has authored several articles and is also a speaker and organizer of events and conferences. In addition to teaching MongoDB, he was a professor at one of the largest universities in Brazil. Leandro is passionate about MongoDB and is a mentor and an inspiration to many developers and administrators. His efforts make MongoDB a more comprehensible tool for everyone.

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Arek Borucki

Arek Borucki

Arek Borucki, a recognized MongoDB Champion and certified database administrator, has been working with MongoDB technology since 2016. As principal SRE database engineer, he works closely with technologies such as MongoDB, Elasticsearch, PostgreSQL, Kafka, Kubernetes, Terraform, AWS, and GCP. His extensive experience includes working with renowned companies such as Amadeus, Deutsche Bank, IBM, Nokia, and Beamery. Arek is also a Certified Kubernetes Administrator and developer, an active speaker at international conferences, and a co-author of questions for the MongoDB Associate DBA Exam.

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Rachelle Palmer

Rachelle Palmer

Rachelle Palmer is the Product Leader for Developer Database Experience and Developer Education at MongoDB, overseeing the driver client libraries, documentation, framework integrations, and MongoDB University. She has built sample applications for MongoDB in Java, PHP, Rust, Python, Node.js, and Ruby. Rachelle joined MongoDB in 2013 and was previously the Director of the Technical Services Engineering team, creating and managing the team that provided support and CloudOps to MongoDB Atlas.

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