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Mastering MongoDB 3.x
Mastering MongoDB 3.x

Mastering MongoDB 3.x: An expert's guide to building fault-tolerant MongoDB applications

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Mastering MongoDB 3.x

Schema Design and Data Modeling

The second chapter of our book will focus on schema design for schema-less databases such as MongoDB. This may sound counterintuitive; in fact there are considerations that we should take into account when developing for MongoDB.

The main points of this chapter are:

  • Schema considerations for NoSQL
  • Data types supported by MongoDB
  • Comparison between different data types
  • How to model our data for atomic operations
  • Modeling relationships between collections:
    • One to one
    • One to many
    • Many to many
  • How to prepare data for text searches in MongoDB
  • Ruby:
    • How to connect using the Ruby mongo driver
    • How to connect using Ruby's most widely used ODM, Mongoid
    • Mongoid model inheritance management
  • Python:
    • How to connect using the Python mongo driver
    • How to connect using Python's ODM, PyMODM
    • PyMODM model inheritance management
  • PHP:
    • Sample code...

Relational schema design

In relational databases, we design with the goal of avoiding anomalies and redundancy. Anomalies can happen when we have the same information stored in multiple columns; we update one of them but not the rest and we end up with conflicting information for the same column of information. An anomaly can also happen when we cannot delete a row without losing information that we need, possibly in other rows referenced by it. Data redundancy can happen when our data is not in a normal form, but has duplicate data across different tables, which can lead to data inconsistency and is difficult to maintain.

In relational databases, we use normal forms to normalize our data. Starting from the basic 1NF (first normal form), onto the 2NF, 3NF, and BCNF, we model our data taking functional dependencies into account and, if we follow the rules, we can end up with many...

Summary

In this chapter, we learned about schema design for relational databases and MongoDB and how we can achieve the same goal starting from a different starting point.

In MongoDB, we have to think about read/write ratios, the questions that our users will have in the most common cases, as well as cardinality among relationships.

We learned about atomic operations and how we can construct our queries so that we can have ACID properties without the overhead of transactions.

We also learned about MongoDB data types, how they can be compared, and some special data types such as the ObjectId that can be used both by the database and for our advantage.

Starting from modeling simple one-one relationships, we went through one-many and also many-many relationship modeling, without the need for an intermediate table, like we would do in a relational database, either using references...

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Key benefits

  • Master the advanced modeling, querying, and administration techniques in MongoDB and become a MongoDB expert
  • Covers the latest updates and Big Data features frequently used by professional MongoDB developers and administrators
  • If your goal is to become a certified MongoDB professional, this book is your perfect companion

Description

MongoDB has grown to become the de facto NoSQL database with millions of users—from small startups to Fortune 500 companies. Addressing the limitations of SQL schema-based databases, MongoDB pioneered a shift of focus for DevOps and offered sharding and replication maintainable by DevOps teams. The book is based on MongoDB 3.x and covers topics ranging from database querying using the shell, built in drivers, and popular ODM mappers to more advanced topics such as sharding, high availability, and integration with big data sources. You will get an overview of MongoDB and how to play to its strengths, with relevant use cases. After that, you will learn how to query MongoDB effectively and make use of indexes as much as possible. The next part deals with the administration of MongoDB installations on-premise or in the cloud. We deal with database internals in the next section, explaining storage systems and how they can affect performance. The last section of this book deals with replication and MongoDB scaling, along with integration with heterogeneous data sources. By the end this book, you will be equipped with all the required industry skills and knowledge to become a certified MongoDB developer and administrator.

Who is this book for?

Mastering MongoDB 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 in, and are interested in working with, NoSQL databases to build apps and websites, then this book is for you.

What you will learn

  • Get hands-on with advanced querying techniques such as indexing, expressions, arrays, and more.
  • Configure, monitor, and maintain highly scalable MongoDB environment like an expert.
  • Master replication and data sharding to optimize read/write performance.
  • Design secure and robust applications based on MongoDB.
  • Administer MongoDB-based applications on-premise or in the cloud
  • Scale MongoDB to achieve your design goals
  • Integrate MongoDB with big data sources to process huge amounts of data

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Nov 17, 2017
Length: 342 pages
Edition : 1st
Language : English
ISBN-13 : 9781783982608
Vendor :
MongoDB
Category :
Languages :
Concepts :
Tools :

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Product Details

Publication date : Nov 17, 2017
Length: 342 pages
Edition : 1st
Language : English
ISBN-13 : 9781783982608
Vendor :
MongoDB
Category :
Languages :
Concepts :
Tools :

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Frequently bought together


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MongoDB Administrator???s Guide
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Total $ 131.97 Stars icon

Table of Contents

12 Chapters
MongoDB – A Database for the Modern Web Chevron down icon Chevron up icon
Schema Design and Data Modeling Chevron down icon Chevron up icon
MongoDB CRUD Operations Chevron down icon Chevron up icon
Advanced Querying Chevron down icon Chevron up icon
Aggregation Chevron down icon Chevron up icon
Indexing Chevron down icon Chevron up icon
Monitoring, Backup, and Security Chevron down icon Chevron up icon
Storage Engines Chevron down icon Chevron up icon
Harnessing Big Data with MongoDB Chevron down icon Chevron up icon
Replication Chevron down icon Chevron up icon
Sharding Chevron down icon Chevron up icon
Fault Tolerance and High Availability Chevron down icon Chevron up icon

Customer reviews

Top Reviews
Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.1
(13 Ratings)
5 star 61.5%
4 star 7.7%
3 star 15.4%
2 star 7.7%
1 star 7.7%
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Tasos Alexiadi Jan 12, 2018
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This is a comprehensive guide to the MongoDB NoSQL database. The topics covered range from database querying, using the MongoDB shell, to application design with fault tolerance and high availability.No previous NoSQL database experience is assumed as the reader is introduced to NoSQL database concepts. The reader is presented with the basic MongoDB datatypes, concepts and coding comparisons to SQL. Tutorials, with coding examples, for connecting to MongoDB from Ruby, Python and PHP are also included. The MongoDB shell is presented in great depth, instructing the reader to topics ranging from simple CRUD operations to MapReduce scripts and usage of the aggregation framework and even more advanced queries.The book also covers indexing, Monitoring, Backup and Security and how to harness Big Data with MongoDB, presenting MongoDB’s place in the big data webapp ecosystem. Finally, the book discusses more advanced topics, such as replication (synchronization of data across different servers), sharding (partitioning of the database across different servers) and fault tolerance and high availability.The book is written in clear and easy to follow manner. The only topic I would have liked to see included but was missing would have been a more thorough comparison with current SQL database systems, which better presented the strengths of MongoDB and the NoSQL approach.For developers needing to use a NoSQL database, I highly recommend this book as a guide for the popular MongoDB database.
Amazon Verified review Amazon
Jayesh Patel Dec 05, 2017
Full star icon Full star icon Full star icon Full star icon Full star icon 5
A great book, very well planned and great reference book. All topics are clearly defined and provides easy to follow guide. This has helped me get up to speed quickly and would recommend this to a beginner and or someone after more advanced topics.
Amazon Verified review Amazon
Dimitris Apostolopoulos Dec 17, 2017
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Excellent book. Alex delivers a well structured MongoDB guide with plenty use cases and example codes that makes it easy to follow. "Mastering MongoDB 3.x" would be my preferred suggestion for anyone that wants to learn MongoDB the right way.
Amazon Verified review Amazon
FOT P BETSOS Feb 02, 2018
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This is an absolute MUST for any amateur or professional user/developer of MongoDb.A very well structured guide with amazing tips and tutorials for everything you want to master in MongoDB. The title is well deserved in this book.Alex Giamas is a true expert in MongoDB and through this guide, his knowledge and expertise is now available for everyone.5 well deserved stars!
Amazon Verified review Amazon
MD Dec 21, 2017
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Learning the leading NoSQL database such as MongoDB is not an easy feat but this book does a great job in the why and how to use it! The case studies using ethereum and monero blockchain are useful for newcomers to the cryptocurrency world as well as developers looking to use MongoDB with crypto web applications. I highly recommend this book.
Amazon Verified review Amazon
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