Könyv MongoDB in Action, Third Edition Borucki

MongoDB in Action, Third Edition

Szerző: Borucki, Arek
Nyelv: Angol
Kötés: Puha kötésű
Elérhetőség: 50 % esély
Keressük az egész világon
24 481 Ft
Future-proofing your data layer is more important than ever. As AI-driven applications demand faster...

Információk a könyvről

Szerző
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2025
oldal
575
EAN
9781633436077
ISBN
1633436071
Enbook ID
48638457
Súly
685

Teljes leírás

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.

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