MongoDB 8.0 in Action: Building on the Atlas Data Platform, 3rd Edition

Deliver flexible, scalable, and high-performance data storage that's perfect for AI and other modern applications with MongoDB 8.0 and MongoDB Atlas multi-cloud data platform.

In MongoDB 8.0 in Action, Third Edition you'll find comprehensive coverage of the latest version of MongoDB 8.0 and the MongoDB Atlas multi-cloud data platform. Learn to utilize MongoDB’s flexible schema design for data modeling, scale applications effectively using advanced sharding features, integrate full-text and vector-based semantic search, and more. This totally revised new edition delivers engaging hands-on tutorials and examples that put MongoDB into action!

In MongoDB 8.0 in Action, Third Edition you'll:

• Master new features in MongoDB 8.0
• Create your first, free Atlas cluster using the Atlas CLI
• Design scalable NoSQL databases with effective data modeling techniques
• Master Vector Search for building GenAI-driven applications
• Utilize advanced search capabilities in MongoDB Atlas, including full-text search
• Build Event-Driven Applications with Atlas Stream Processing
• Deploy and manage MongoDB Atlas clusters both locally and in the cloud using the Atlas CLI
• Leverage the Atlas SQL interface for familiar SQL querying
• Use MongoDB Atlas Online Archive for efficient data management
• Establish robust security practices including encryption
• Master backup and restore strategies
• Optimize database performance and identify slow queries

MongoDB 8.0 in Action, Third Edition offers a clear, easy-to-understand introduction to everything in MongoDB 8.0 and MongoDB Atlas—including new advanced features such as embedded config servers in sharded clusters, or moving an unsharded collection to a different shard. The book also covers Atlas stream processing, full text search, and vector search capabilities for generative AI applications. Each chapter is packed with tips, tricks, and practical examples you can quickly apply to your projects, whether you're brand new to MongoDB or looking to get up to speed with the latest version.

About the technology

MongoDB is the database of choice for storing structured, semi-structured, and unstructured data like business documents and other text and image files. MongoDB 8.0 introduces a range of exciting new features—from sharding improvements that simplify the management of distributed data, to performance enhancements that stay resilient under heavy workloads. Plus, MongoDB Atlas brings vector search and full-text search features that support AI-powered applications.

About the book

MongoDB 8.0 in Action, Third Edition you’ll learn how to take advantage of all the new features of MongoDB 8.0, including the powerful MongoDB Atlas multi-cloud data platform. You’ll start with the basics of setting up and managing a document database. Then, you’ll learn how to use MongoDB for AI-driven applications, implement advanced stream processing, and optimize performance with improved indexing and query handling. Hands-on projects like creating a RAG-based chatbot and building an aggregation pipeline mean you’ll really put MongoDB into action!

What's inside

• The new features in MongoDB 8.0
• Get familiar with MongoDB’s Atlas cloud platform
• Utilizing sharding enhancements
• Using vector-based search technologies
• Full-text search capabilities for efficient text indexing and querying

About the reader

For developers and DBAs of all levels. No prior experience with MongoDB required.

About the author

Arek Borucki is a MongoDB Champion, certified MongoDB and MongoDB Atlas administrator with expertise in distributed systems, NoSQL databases, and Kubernetes.

Table of Contents

Part 1
1 Understanding the world of MongoDB
2 Getting started with Atlas and MongoDB data
3 Communicating with MongoDB
4 Executing CRUD operations
5 Designing a MongoDB schema
6 Building aggregation pipelines
7 Indexing for query performance
8 Executing multidocument ACID transactions
9 Using replication and sharding
Part 2
10 Delving into Database as a Service
11 Carrying out full-text search using Atlas Search
12 Learning semantic techniques and Atlas Vector Search
13 Developing AI applications locally with the Atlas CLI
14 Building retrieval-augmented generation AI chatbots
15 Building event-driven applications
16 Optimizing data processing with Atlas Data Federation
17 Archiving online with Atlas Online Archive
18 Querying Atlas using SQL
19 Creating charts, database triggers, and functions
Part 3
20 Understanding Atlas and MongoDB security features
21 Operational excellence with Atlas

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