Mastering MongoDB 3.x

An expert's guide to build fault tolerant MongoDB application
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Mastering MongoDB 3.x

Alex Giamas

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An expert's guide to build fault tolerant MongoDB application

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Book Details

ISBN 139781783982608
Paperback342 pages

Book 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.

Table of Contents

Chapter 1: MongoDB – A Database for the Modern Web
Web history
SQL and NoSQL evolution
MongoDB key characteristics and use cases
MongoDB configuration and best practices
Reference documentation
Summary
Chapter 2: Schema Design and Data Modeling
Relational schema design
Summary
Chapter 3: MongoDB CRUD Operations
CRUD using the shell
Summary
Chapter 4: Advanced Querying
MongoDB CRUD operations
Summary
Chapter 5: Aggregation
Why aggregation?
Aggregation operators
Limitations
Aggregation use case
Summary
Chapter 6: Indexing
Index internals
References
Summary
Chapter 7: Monitoring, Backup, and Security
Monitoring
Backups
Security
Summary
Chapter 8: Storage Engines
Pluggable storage engines
Locking in MongoDB
References
Summary
Chapter 9: Harnessing Big Data with MongoDB
What is big data?
Big data use case
References
Summary
Chapter 10: Replication
Replication
Architectural overview
How do elections work?
What is the use case for a replica set?
Setting up a replica set
Connecting to a replica set
Replica set administration
Cloud options for a replica set
Replica set limitations
Summary
Chapter 11: Sharding
Advantages of sharding
Architectural overview
Sharding setup
Sharding administration and monitoring
Querying sharded data
Sharding recovery
References
Summary
Chapter 12: Fault Tolerance and High Availability
Application design
Operations
Security
References
Summary

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

Authors

Table of Contents

Chapter 1: MongoDB – A Database for the Modern Web
Web history
SQL and NoSQL evolution
MongoDB key characteristics and use cases
MongoDB configuration and best practices
Reference documentation
Summary
Chapter 2: Schema Design and Data Modeling
Relational schema design
Summary
Chapter 3: MongoDB CRUD Operations
CRUD using the shell
Summary
Chapter 4: Advanced Querying
MongoDB CRUD operations
Summary
Chapter 5: Aggregation
Why aggregation?
Aggregation operators
Limitations
Aggregation use case
Summary
Chapter 6: Indexing
Index internals
References
Summary
Chapter 7: Monitoring, Backup, and Security
Monitoring
Backups
Security
Summary
Chapter 8: Storage Engines
Pluggable storage engines
Locking in MongoDB
References
Summary
Chapter 9: Harnessing Big Data with MongoDB
What is big data?
Big data use case
References
Summary
Chapter 10: Replication
Replication
Architectural overview
How do elections work?
What is the use case for a replica set?
Setting up a replica set
Connecting to a replica set
Replica set administration
Cloud options for a replica set
Replica set limitations
Summary
Chapter 11: Sharding
Advantages of sharding
Architectural overview
Sharding setup
Sharding administration and monitoring
Querying sharded data
Sharding recovery
References
Summary
Chapter 12: Fault Tolerance and High Availability
Application design
Operations
Security
References
Summary

Book Details

ISBN 139781783982608
Paperback342 pages
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