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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

What this book covers

Chapter 1, MongoDB – A Database for Modern Web, takes us on a journey through web, SQL, and NoSQL technologies, from their inception to their current states.

Chapter 2, Schema Design and Data Modeling, teaches you schema design for relational databases and MongoDB, and how we can achieve the same goal from a different starting point.

Chapter 3, MongoDB CRUD Operations, provides a bird's-eye view of CRUD operations.

Chapter 4, Advanced Querying, covers advanced querying concepts using Ruby, Python, and PHP, using both the official drivers and an ODM.

Chapter 5, Multi-Document ACID Transactions, explores transactions following ACID characteristics, which is a new functionality introduced in MongoDB 4.0.

Chapter 6, Aggregation, dives deep into the aggregation framework. We also discuss when and why we should use aggregation, as opposed to MapReduce and querying the database.

Chapter 7, Indexing, explores one of the most important properties of every database, which is indexing.

Chapter 8, Monitoring, Backup, and Security, discusses the operational aspects of MongoDB. Monitoring, backup, and security should not be an afterthought, but rather are necessary processes that need to be taken care of before deploying MongoDB in a production environment.

Chapter 9, Storage Engines, teaches you about the different storage engines in MongoDB. We identify the pros and cons of each one, and the use cases for choosing each storage engine.

Chapter 10, MongoDB Tooling, covers all the different tools, both on-premises and in the cloud, that we can utilize in the MongoDB ecosystem.

Chapter 11, Harnessing Big Data with MongoDB, provides more detail on how MongoDB fits into the wider big data landscape and ecosystem.

Chapter 12, Replication, discusses replica sets and how to administer them. Starting from an architectural overview of replica sets and replica set internals around elections, we dive deep into setting up and configuring a replica set.

Chapter 13, Sharding, explores sharding, one of the most interesting features of MongoDB. We start with an architectural overview of sharding and move on to discuss how to design a shard, and especially, how to choose the right shard key.

Chapter 14, Fault Tolerance and High Availability, tries to fit in the information that we didn't manage to discuss in the previous chapters, and places emphasis on security and a series of checklists that developers and DBAs should keep into mind.

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