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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

Product type Paperback

Published in Mar 2019

Publisher Packt

ISBN-13 9781789617870

Length 394 pages

Edition 2nd Edition

Languages

JavaScript

Tools

MongoDB

Concepts

Databases

Author (1):

Alex Giamas

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Table of Contents (20) Chapters

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

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Who this book is for

Mastering MongoDB 4.0 is a book for database developers, architects, and administrators who want to learn how to use MongoDB more effectively and productively. If you have experience with, and are interested in working with, NoSQL databases to build apps and websites, then this book is for you.

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Authors (1)

Alex Giamas

Alex Giamas

Alex Giamas is a freelance consultant and a hands-on Lead Technical and Data Architect. Over the past 15 years, he has expertise in designing and developing systems for the UK Government (HMRC, Cabinet Office, DIT) and private sector (Amazon ProServe, PwC, Fintech Fortune 500, Yahoo!, Verizon) clients. Alex is an alumnus of the MassChallenge London cohort as the co-founder and CTO of a digital health startup. Alex has authored Mastering MongoDB 3.x and 4.x, both by Packt Publishing. Alex has developed large-scale robust, distributed software systems in Python, JavaScript, Ruby, and Java. He is a MongoDB Certified Developer, a Cloudera Hadoop Certified Developer with Data Science Essentials, and a Carnegie Mellon and Stanford graduate.

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