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.
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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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.
From the back cover:
MongoDB in Action, Third Edition is a practical guide to MongoDB 8.0 and the MongoDB Atlas Multi-cloud Developer Data Platform. You'll go well beyond the basics of database management, learning how to build AI-driven applications, implement advanced search techniques, and optimize performance at scale. With hands-on projects that include creating an AI chatbot, setting up a sharded cluster in MongoDB Atlas, and building an aggregation pipeline, you'll really see MongoDB in action. The book guides you through deploying Atlas clusters, optimizing performance, and setting up robust monitoring systems. Whether you're building chatbots or managing large datasets, you'll soon be delivering MongoDB deployments that are efficient and scalable.
About the reader:
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Paperback. Etat : New. 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 and 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 and 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. N° de réf. du vendeur LU-9781633436077
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