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  • Book Overview & Buying The Official MongoDB Guide
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The Official MongoDB Guide

The Official MongoDB Guide

By : Rachelle Palmer, Jeffrey Allen, Parker Faucher, Alison Huh, Lander Kerbey, Maya Raman, Lauren Tran
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The Official MongoDB Guide

The Official MongoDB Guide

By: Rachelle Palmer, Jeffrey Allen, Parker Faucher, Alison Huh, Lander Kerbey, Maya Raman, Lauren Tran

Overview of this book

Delivering secure, scalable, and high-performance applications is never easy, especially when systems must handle growth, protect sensitive data, and perform reliably under pressure. The Official MongoDB Guide addresses these challenges with guidance from MongoDB’s top subject matter experts, so you learn proven best practices directly from those who know the technology inside out. This book takes you from core concepts and architecture through to advanced techniques for data modeling, indexing, and query optimization, supported by real-world patterns that improve performance and resilience. It offers practical coverage of developer tooling, IDE integrations, and AI-assisted workflows that will help you work faster and more effectively. Security-focused chapters walk you through authentication, authorization, encryption, and compliance, while chapters dedicated to MongoDB Atlas showcase its robust security features and demonstrate how to deploy, scale, and leverage platform-native capabilities such as Atlas Search and Atlas Vector Search. By the end of this book, you’ll be able to design, build, and manage MongoDB applications with the confidence that comes from learning directly from the experts shaping the technology. *Email sign-up and proof of purchase required
Table of Contents (13 chapters)
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11
Index
12
Other Books You May Enjoy

Queries

MongoDB offers a powerful and flexible query system designed for working with semi-structured, hierarchical data stored in BSON format. As a document-oriented NoSQL database, MongoDB allows for expressive and dynamic queries that go well beyond simple key-value lookups. Its query engine is optimized for a wide range of workloads, including operational data access, analytical processing, and real-time application use cases.

At its foundation, MongoDB supports standard create, read, update, and delete (CRUD), executed through an intuitive, JSON-like syntax that makes working with nested documents and arrays straightforward. Queries can be composed using field-level operators, logical expressions, regular expressions, and geospatial criteria, among others.

This chapter covers the following topics:

  • MongoDB CRUD operations
  • CRUD operations with mongosh and PyMongo
  • Batch operations with mongosh
  • Advanced queries and aggregations
  • Query shapes...
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The Official MongoDB Guide
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