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Mastering MongoDB 4.x

You're reading from   Mastering MongoDB 4.x Expert techniques to run high-volume and fault-tolerant database solutions using MongoDB 4.x

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Product type Paperback
Published in Mar 2019
Publisher Packt
ISBN-13 9781789617870
Length 394 pages
Edition 2nd Edition
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Author (1):
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Alex Giamas Alex Giamas
Author Profile Icon Alex Giamas
Alex Giamas
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Table of Contents (20) Chapters Close

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

Background

MongoDB is a non-relational database and provides few guarantees around ACID. Data modeling in MongoDB is not focused around BCNF, 2NF, and 3NF normalization, but rather, quite the opposite direction.

In MongoDB, many times, the best approach is 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 startups to major Fortune 500 companies. Across many different...

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