Mongodb Action Second Edition by Borucki Arek (11 results)

Paperback. Condition: new. Paperback. 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 Developer Data Platform.In MongoDB in Action, Third Edition you'll find comprehensive coverage of the latest version of MongoDB 8.0 and the powerful MongoDB Atlas Multi-cloud Developer Data Platform. Learn how to deliver data flexibility with MongoDB's schema-less design, make your apps scalable with its sharding capabilities, power full text and semantic search, use the Retrieval Augmented Generation pattern, implement powerful stream processing, and more. This totally revised new edition delivers engaging hands-on tutorials and examples that put MongoDB into action!In MongoDB in Action, Third Edition you'll: Master new features in MongoDB 8.0Create Atlas vector search for AI applicationsDesign scalable NoSQL databasesUtilize advanced search capabilities in MongoDB AtlasBuild Event-Driven Applications with Atlas Stream ProcessingDeploy and manage MongoDB Atlas local and cloud clusters using Atlas CLILeverage the Atlas SQL interface for familiar SQL queryingUse MongoDB Atlas Online Archive for efficient data managementEstablish robust security practices including encryptionMaster backup and restore strategiesOptimize database performance and identify slow queries MongoDB in Action, Third Edition offers a clear, easy-to-understand introduction to everything in MongoDB 8.0 and MongoDB Atlasincluding 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. 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 Developer Data Platform. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condition: New. 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 Developer Data Platform.In MongoDB in Action, Third Edition you'll find comprehensive coverage of the latest version of MongoDB 8.0 and the powerful MongoDB Atlas Multi-cloud Developer Data Platform. Learn how to deliver data flexibility with MongoDB's schema-less design, make your apps scalable with its sharding capabilities, power full text and semantic search, use the Retrieval Augmented Generation pattern, implement powerful stream processing, and more. This totally revised new edition delivers engaging hands-on tutorials and examples that put MongoDB into action!In MongoDB in Action, Third Edition you'll: Master new features in MongoDB 8.0Create Atlas vector search for AI applicationsDesign scalable NoSQL databasesUtilize advanced search capabilities in MongoDB AtlasBuild Event-Driven Applications with Atlas Stream ProcessingDeploy and manage MongoDB Atlas local and cloud clusters using Atlas CLILeverage the Atlas SQL interface for familiar SQL queryingUse MongoDB Atlas Online Archive for efficient data managementEstablish robust security practices including encryptionMaster backup and restore strategiesOptimize database performance and identify slow queries MongoDB 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.

Paperback. Condition: 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.

Condition: New. 2025. 1st Edition. paperback. . . . . .

Paperback / softback. Condition: New. New copy - Usually dispatched within 2 working days.

Condition: New. 2025. 1st Edition. paperback. . . . . . Books ship from the US and Ireland.

Paperback. Condition: new. Paperback. 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 MongoDBs 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 todays 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 queryskills that transfer straight to production. Ideal for JavaScript and polyglot developers who need a practical path to scalable, AI-driven data solutions. Learn how to deliver data flexibility with MongoDB's schema-less design, make your apps scalable with its sharding capabilities, power full text and semantic search, use the Retrieval Augmented Generation pattern, implement powerful stream processing, and more. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condition: 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.

Paperback. Condition: new. Paperback. 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 MongoDBs 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 todays 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 queryskills that transfer straight to production. Ideal for JavaScript and polyglot developers who need a practical path to scalable, AI-driven data solutions. Learn how to deliver data flexibility with MongoDB's schema-less design, make your apps scalable with its sharding capabilities, power full text and semantic search, use the Retrieval Augmented Generation pattern, implement powerful stream processing, and more. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Paperback. Condition: 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.