Book Image

Mastering MongoDB 7.0 - Fourth Edition

By : Marko Aleksendrić, Arek Borucki, Leandro Domingues, Malak Abu Hammad, Elie Hannouch, Rajesh Nair, Rachelle Palmer
Book Image

Mastering MongoDB 7.0 - Fourth Edition

By: Marko Aleksendrić, Arek Borucki, Leandro Domingues, Malak Abu Hammad, Elie Hannouch, Rajesh Nair, Rachelle Palmer

Overview of this book

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.
Table of Contents (20 chapters)
4
Chapter 4: Connecting to MongoDB

Design considerations and best practices for MongoDB modeling

When you're crafting data models in MongoDB, it's not just about representing the data—it's about doing so efficiently and effectively. The design decisions you make can greatly influence your application's performance, scalability, and maintainability. While MongoDB offers great flexibility, consider the following best practices while structuring your data to help achieve peak efficiency.

Read-write ratio

Understanding your application's read-write ratio can guide how data is stored and retrieved to optimize performance:

  • Read considerations: When reading data in sharded clusters, you want to avoid the scatter-gather approach, where multiple shards are queried. Data modeling, especially the decision to embed related data within a single document, can help reduce the number of queries required to fetch related data. This provides performance benefits in terms of reduced I/O operations...