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Mastering MongoDB 6.x

You're reading from   Mastering MongoDB 6.x Expert techniques to run high-volume and fault-tolerant database solutions using MongoDB 6.x

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Product type Paperback
Published in Aug 2022
Publisher Packt
ISBN-13 9781803243863
Length 460 pages
Edition 3rd Edition
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Author (1):
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Alex Giamas Alex Giamas
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Alex Giamas
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Table of Contents (22) Chapters Close

Preface 1. Part 1 – Basic MongoDB – Design Goals and Architecture
2. Chapter 1: MongoDB – A Database for the Modern Web FREE CHAPTER 3. Chapter 2: Schema Design and Data Modeling 4. Part 2 – Querying Effectively
5. Chapter 3: MongoDB CRUD Operations 6. Chapter 4: Auditing 7. Chapter 5: Advanced Querying 8. Chapter 6: Multi-Document ACID Transactions 9. Chapter 7: Aggregation 10. Chapter 8: Indexing 11. Part 3 – Administration and Data Management
12. Chapter 9: Monitoring, Backup, and Security 13. Chapter 10: Managing Storage Engines 14. Chapter 11: MongoDB Tooling 15. Chapter 12: Harnessing Big Data with MongoDB 16. Part 4 – Scaling and High Availability
17. Chapter 13: Mastering Replication 18. Chapter 14: Mastering Sharding 19. Chapter 15: Fault Tolerance and High Availability 20. Index 21. Other Books You May Enjoy

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MongoDB is a non-relational database and provides only a few guarantees around ACID. Data modeling in MongoDB does not focus on BCNF, 2NF, and 3NF normalization; instead, its focus is in the opposite direction.

In MongoDB, the best approach is often to embed our data into subdocuments, resulting in more self-contained documents than a single row of data in an RDBMS. This means that a logical transaction can affect a single document many times. Single-document transactions are ACID-compliant in MongoDB, meaning that multi-document ACID transactions have not been essential for MongoDB development.

However, there are a few reasons why getting multi-document transactions is a good idea. Over the years, MongoDB has grown from being a niche database to a multi-purpose database that is used everywhere – from start-ups to major Fortune 500 companies. Across many different use cases, there are inevitably a few corner cases where data modeling can’...

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