Overview

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.

Full Product Details

Author:   Arek Borucki
Publisher:   Manning Publications
Imprint:   Manning Publications
Dimensions:   Width: 18.70cm , Height: 3.40cm , Length: 23.40cm
Weight:   1.014kg
ISBN:  

9781633436077

ISBN 10:   1633436071
Pages:   576
Publication Date:   01 August 2025
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order  
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Table of 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

Reviews

An excellent resource with real-world examples and best practices to design, optimize, and scale modern applications. Advait Patel, Broadcom Essential MongoDB resource. Covers new features such as full-text search, vector search, AI, and RAG applications. Juan Roy, Credit Suisse

Author Information

Arek Borucki is a MongoDB Champion and principal database engineer known for turning complex data challenges into elegant, high-performance solutions. With two decades of scaling systems for global companies, Arek brings hands-on clarity and real-world rigor to every page. He distills expert practices into actionable steps that help developers build faster, safer, and smarter applications.

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