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Full Description
Future-proofing your data layer is more important than ever. As AI-driven applications demand faster, smarter, and more scalable data solutions, developers need tools that are ready for the next wave of innovation. MongoDB offers powerful new features, but navigating updates and best practices without wasting time searching forums can be a challenge. What if you could confidently build AI-ready, cloud-native data systems that perform at scale from day one? With the right guidance, you can harness MongoDB's latest capabilities to power reliable, high-performance solutions without guesswork.
New MongoDB 8.0 features: Use time-saving syntax and performance boosts right away.
Atlas cloud projects: Deploy multi-cloud clusters that scale, self-heal, and stay budget-friendly.
Vector search & RAG patterns: Power chatbots and generative AI that actually find the right answers.
Stream processing with Atlas: React to events in milliseconds, not minutes.
Hands-on labs: Follow step-by-step builds to lock in skills and confidence.
Performance & security checklists: Keep data fast, compliant, and protected from day one.
MongoDB in Action by MongoDB Champion Arek Borucki is designed for professional developers.
Through clear explanations and real projects, like an AI chatbot, aggregation pipelines, and Atlas clusters, the book bridges core NoSQL concepts with today's cloud realities. Each chapter layers theory with CLI commands, code samples, and troubleshooting tips developers actually use.
By the final page you will design elegant schemas, spin up resilient clusters, and squeeze maximum speed from every query—skills that transfer straight to production.
Ideal for JavaScript and polyglot developers who need a practical path to scalable, AI-driven data solutions.
Contents
PART 1 A DATABASE FOR MODERN WEB APPLICATIONS
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 MONGODB ATLAS DATA PLATFORM
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 MONGODB SECURITY AND OPERATIONS
20 UNDERSTANDING ATLAS AND MONGODB SECURITY FEATURES
21 OPERATIONAL EXCELLENCE WITH ATLAS
