Book Image

Mastering MongoDB 7.0 - Fourth Edition

By : Marko Aleksendrić, Arek Borucki, Leandro Domingues, Malak Abu Hammad, Elie Hannouch, Rajesh Nair, Rachelle Palmer
5 (2)
Book Image

Mastering MongoDB 7.0 - Fourth Edition

5 (2)
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

Benefits of aggregation in MongoDB

Aggregation is a powerful tool in MongoDB that allows you to process data records and return computed results. By using the aggregation framework, you can transform and combine data in various ways, making it easy to analyze and derive meaningful insights.

Aggregating in MongoDB provides a range of benefits, such as:

  • Performance: Native database operations are often faster than extracting data and processing it externally.
  • Flexibility: The aggregation framework provides a vast array of tools and operators to transform data in complex ways, often reducing the need for external data processing logic.
  • Data integrity: Operating at the database level ensures consistency and integrity, unlike external processes, which might be prone to synchronization or transactional issues.
  • Resource efficiency: Reducing the need to move large datasets out of the database for processing can lead to less network bandwidth usage and reduced memory...