Isbn: 9781633436077 - mongodb 8.0 in action: building on the atlas data platform (21 risultati)

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Paperback. Condizione: 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.…

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Paperback. Condizione: 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 multiple locations in the US or from the UK, depending on stock availability.…

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Paperback. Condizione: Brand New. 3rd edition. 546 pages. 9.00x7.25x1.50 inches. In Stock.

Taschenbuch. Condizione: Neu. Neuware - 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 data platform.In MongoDB 8.0 in Action, Third Edition you'll find comprehensive coverage of the latest version of MongoDB 8.0 and the MongoDB Atlas multi-cloud data platform. Learn to utilize MongoDB's flexible schema design for data modeling, scale applications effectively using advanced sharding features, integrate full-text and vector-based semantic search, and more. This totally revised new edition delivers engaging hands-on tutorials and examples that put MongoDB into action! In MongoDB 8.0 in Action, Third Edition you'll: Master new features in MongoDB 8.0 Create your first, free Atlas cluster using the Atlas CLI Design scalable NoSQL databases with effective data modeling techniques Master Vector Search for building GenAI-driven applications Utilize advanced search capabilities in MongoDB Atlas, including full-text search Build Event-Driven Applications with Atlas Stream Processing Deploy and manage MongoDB Atlas clusters both locally and in the cloud using the Atlas CLI Leverage the Atlas SQL interface for familiar SQL querying Use MongoDB Atlas Online Archive for efficient data management Establish robust security practices including encryption Master backup and restore strategies Optimize database performance and identify slow queries MongoDB 8.0 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. About the technology MongoDB is the database of choice for storing structured, semi-structured, and unstructured data like business documents and other text and image files. MongoDB 8.0 introduces a range of exciting new featuresfrom sharding improvements that simplify the management of distributed data, to performance enhancements that stay resilient under heavy workloads. Plus, MongoDB Atlas brings vector search and full-text search features that support AI-powered applications. About the book MongoDB 8.0 in Action, Third Edition you'll learn how to take advantage of all the new features of MongoDB 8.0, including the powerful MongoDB Atlas multi-cloud data platform. You'll start with the basics of setting up and managing a document database. Then, you'll learn how to use MongoDB for AI-driven applications, implement advanced stream processing, and optimize performance with improved indexing and query handling. Hands-on projects like creating a RAG-based chatbot and building an aggregation pipeline mean you'll really put MongoDB into action! What's inside The new features in MongoDB 8.0 Get familiar with MongoDB's Atlas cloud platform Utilizing sharding enhancements Using vector-based search technologies Full-text search capabilities for efficient text indexing and querying About the reader For developers and DBAs of all levels. No prior experience with MongoDB required. About the author Arek Borucki is a MongoDB Champion, certified MongoDB and MongoDB Atlas administrator with expertise in distributed systems, NoSQL databases, and Kubernetes. Table of Contents Part 1 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 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 20 Understanding Atlas and MongoDB security features 21 Operational excellence with Atlas Get a free Elektronisches Buch (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book.…

Paperback. Condizione: 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. Condizione: 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.…