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Mastering MongoDB 3.x

You're reading from Mastering MongoDB 3.x An expert's guide to building fault-tolerant MongoDB applications

Product type Paperback

Published in Nov 2017

Publisher Packt

ISBN-13 9781783982608

Length 342 pages

Edition 1st Edition

Languages

Java

Tools

Hadoop

Concepts

Databases

Author (1):

Alex Giamas

View More author details

Table of Contents (13) Chapters

Preface

1. MongoDB – A Database for the Modern Web FREE CHAPTER

2. Schema Design and Data Modeling

3. MongoDB CRUD Operations

4. Advanced Querying

5. Aggregation

6. Indexing

7. Monitoring, Backup, and Security

8. Storage Engines

9. Harnessing Big Data with MongoDB

10. Replication

11. Sharding

12. Fault Tolerance and High Availability

Advanced Querying

In the previous chapter, we showed how to use the shell for scripting, administration, and developing in a secure way. In this chapter, we will dive deeper into using MongoDB with drivers and popular frameworks from Ruby, Python, and PHP.

We will also show best practices for using these languages and the variety of comparison and update operators that MongoDB supports on a database level and which are accessible through Ruby, Python, and PHP.

The frameworks that we will use for each language are:

Ruby: mongo-ruby-driver and Mongoid
Python: mongo-python-driver and PyMODM
PHP: mongo-php-driver and Doctrine

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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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