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Mastering MongoDB 7.0
Mastering MongoDB 7.0

Mastering MongoDB 7.0: Achieve data excellence by unlocking the full potential of MongoDB , Fourth Edition

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Profile Icon Marko Aleksendrić Profile Icon Rajesh Nair Profile Icon Elie Hannouch Profile Icon Malak Abu Hammad Profile Icon Leandro Domingues Profile Icon Arek Borucki Profile Icon Rachelle Palmer +3 more Show less
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Profile Icon Marko Aleksendrić Profile Icon Rajesh Nair Profile Icon Elie Hannouch Profile Icon Malak Abu Hammad Profile Icon Leandro Domingues Profile Icon Arek Borucki Profile Icon Rachelle Palmer +3 more Show less
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Mastering MongoDB 7.0

The MongoDB Architecture

MongoDB enables you to meet the demands of modern apps with a developer data platform built on several core architectural foundations. It lets you access the best ways to innovate in building transactional, operational, and analytical applications. This chapter examines the MongoDB architecture with a special emphasis on two key elements: replication and sharding.

Replication is a crucial component in MongoDB's distributed architecture, ensuring data accessibility and resilience to faults. It enables you to spread identical datasets across various database servers, safeguarding against the failure of a single server.

Additionally, you will learn about sharding, a horizontal scaling strategy for spreading data across several machines. As applications grow in popularity, and the volume of data they produce increases, scaling across machines becomes essential to ensure sufficient read and write throughput.

This chapter will cover the following topics...

Replication vs sharding

People often confuse replication with sharding. While both are sets of systems utilized in database management, they serve distinct purposes and are employed for different reasons. Replication is a process where data is duplicated and stored in multiple locations to ensure redundancy and reliability, playing a vital role in data protection and accessibility.

On the other hand, sharding involves dividing a larger database into smaller, more manageable parts, called shards. Each shard stores a portion of the total dataset on a separate database server instance. However, it's important to note that each shard must also implement replication to maintain data integrity and availability.

The goal of combining sharding with replication is to ensure data durability and high availability. When a shard's server instance fails and there's only a single copy of data on that shard, it can result in unavailability of data until the server is restored...

Replication

A replica set in MongoDB refers to a collection of mongod processes that uphold the same dataset. They offer redundancy and high availability, serving as the foundation for all production implementations. By having numerous data copies across various database servers, replication ensures a degree of fault tolerance, protecting against the failure of a single database server.

Figure 2.1: A replica set

The primary node handles all write operations, and logs all dataset changes in its operations log (oplog). A MongoDB replica set can only have one primary node.

The secondary nodes replicate the primary's oplog, and implement the operations on their own datasets, ensuring that they mirror the primary's dataset. In the event of the primary becoming inaccessible, a qualified secondary will initiate an election to become the new primary.

With data stored across multiple servers, replication increases the reliability of the system....

Sharding

MongoDB supports horizontal scaling through sharding. Sharding involves the distribution of data across numerous processes and plays an essential role in managing and organizing large-scale data. This method divides a larger database into smaller, more manageable components known as shards. Each shard is stored on a separate database server instance, which distributes the load and offers an effective approach to data management. Moreover, this technique allows for the creation of distributed databases to support geographically distributed applications, enabling policies that enforce data residency within specific regions.

Why do you need sharding?

Consider a scenario where your data is expanding swiftly and your database is approaching its maximum capacity. This circumstance could manifest a multitude of challenges. Typically, the most pressing problem is performance deterioration. As your database grows, the time required to query and retrieve data can increase significantly...

New sharded cluster features in MongoDB 7.0

MongoDB 7.0 continues to simplify the management and understanding of sharded clusters for both operations and developer use cases. This version provides additional insights that assist in making the best decisions for both initial and future shard key selections. Furthermore, starting in MongoDB 7.0, developers can experience a consistent interface when using these commands on sharded or unsharded clusters, while still retaining the option to optimize for performance when necessary. Let's have a look at the new sharding features introduced in MongoDB 7.0.

Shard key advisor commands

Choosing a shard key is complex due to intricate data patterns and trade-offs. Yet, the new features in MongoDB 7.0 aim to ease this task:

  • analyzeShardKey provides the ability to evaluate a candidate shard key against existing data. Shard key analysis in MongoDB 7.0 offers metrics to evaluate a shard key's suitability, including its...

Summary

Replication in MongoDB is a process that synchronizes data across multiple servers, providing redundancy and increased data availability. This is achieved through replica sets, a group of MongoDB servers that maintain the same dataset. Within a replica set, one node acts as the primary node, receiving all write operations, while the secondary nodes replicate the primary's operations to their datasets. This structure provides a robust system for failover and recovery. If a primary node fails, an election among the secondaries determines a new primary, allowing for continuous client operations.

Sharding in MongoDB is a method for splitting and distributing data across multiple servers or shards. Each shard is an independent replica set, and collectively, the shards make up a single logical database—the sharded cluster. This approach is used to support deployments with very large datasets and high-throughput operations, effectively addressing scalability issues...

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Key benefits

  • Enhance your proficiency in advanced queries, aggregation, and optimized indexing to achieve peak MongoDB performance
  • Monitor, back up, and integrate applications effortlessly with MongoDB Atlas
  • Implement security thorough RBAC, auditing, and encryption to ensure comprehensive data protection and privacy
  • Purchase of the print or Kindle book includes a free PDF eBook

Description

Mastering MongoDB 7.0 explores the latest version of MongoDB, an exceptional NoSQL database solution that aligns with the needs of modern web applications. This book starts with an informative overview of MongoDB’s architecture and developer tools, guiding you through the process of connecting to databases seamlessly. This MongoDB book explores advanced queries in detail, including aggregation pipelines and multi-document ACID transactions. It delves into the capabilities of the MongoDB Atlas developer data platform and the latest features, such as Atlas Vector Search, and their role in AI applications, enabling developers to build applications with the scalability and performance that today’s organizations need. It also covers the creation of resilient search functionality using MongoDB Atlas Search. Mastering MongoDB 7.0’s deep coverage of advanced techniques encompasses everything from role-based access control (RBAC) to user management, auditing practices, and encryption across data, network, and storage layers. By the end of this book, you’ll have developed the skills necessary to create efficient, secure, and high-performing applications using MongoDB. You’ll have the confidence to undertake complex queries, integrate robust applications, and ensure data security to overcome modern data challenges.

Who is this book for?

This book is for developers with an intermediate skill level who aim to become MongoDB experts. Working knowledge of MongoDB is recommended to gain the most from this guide. Ideal for database administrators, app developers, and software engineers, this book will assist you in developing advanced skills to conquer intricate data tasks.

What you will learn

  • Execute advanced MongoDB queries for intricate data insights
  • Harness the power of aggregation pipelines to transform data
  • Ensure data integrity with multi-document ACID transactions
  • Optimize query performance using strategic indexing techniques
  • Navigate MongoDB Atlas seamlessly for monitoring and backups
  • Enable robust search functionality with Atlas Search
  • Master RBAC, user management, and data encryption for security
  • Implement auditing practices for transparency and accountability
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Length: 434 pages
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Language : English
ISBN-13 : 9781835460474
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Table of Contents

19 Chapters
Chapter 1: Introduction to MongoDB Chevron down icon Chevron up icon
Chapter 2: The MongoDB Architecture Chevron down icon Chevron up icon
Chapter 3: Developer Tools Chevron down icon Chevron up icon
Chapter 4: Connecting to MongoDB Chevron down icon Chevron up icon
Chapter 5: CRUD Operations and Basic Queries Chevron down icon Chevron up icon
Chapter 6: Schema Design and Data Modeling Chevron down icon Chevron up icon
Chapter 7: Advanced Querying in MongoDB Chevron down icon Chevron up icon
Chapter 8: Aggregation Chevron down icon Chevron up icon
Chapter 9: Multi-Document ACID Transactions Chevron down icon Chevron up icon
Chapter 10: Index Optimization Chevron down icon Chevron up icon
Chapter 11: MongoDB Atlas: Powering the Future of Developer Data Platforms Chevron down icon Chevron up icon
Chapter 12: Monitoring and Backup in MongoDB Chevron down icon Chevron up icon
Chapter 13: Introduction to Atlas Search Chevron down icon Chevron up icon
Chapter 14: Integrating Applications with MongoDB Chevron down icon Chevron up icon
Chapter 15: Security Chevron down icon Chevron up icon
Chapter 16: Auditing Chevron down icon Chevron up icon
Chapter 17: Encryption Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

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CHANDA RAJ KUMAR Feb 20, 2024
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Very Useful from basics to advanced concepts .. highly recommended
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Ramon Mar 22, 2024
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This books cover a lot of content! With this book, you will have a good knowledgment about MongoDB! I recommend this book to everyone!
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Douglas K. Farrell Mar 29, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
"Having read this book and with it in hand, I could successfully design, implement, use, and administer a Mongo database. It covers enough material in enough detail to be almost a reference title, but it isn't. It provides a truly useful context of how the tools and techniques fit together to get things done.One other thing I want to mention is that for a book with multiple authors, they have found a consistent and engaging "voice" to write in. This is invaluable in a book, particularly a technical one."
Amazon Verified review Amazon
Jürgen S Feb 01, 2024
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"Mastering MongoDB 7.0" provides a comprehensive understanding of MongoDB 7.0, blending practical examples with theory. It's ideal for developers with some MongoDB experience, focusing on advanced features and real world applications.
Amazon Verified review Amazon
Katja Jan 30, 2024
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Mastering MongoDB 7.0 is an exceptional book. It offers comprehensive, easy-to-understand insights into MongoDB.
Amazon Verified review Amazon
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