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MongoDB in Action, Third Edition de Arek Borucki

MongoDB in Action, Third Edition

Autor Arek Borucki
en Limba Engleză Paperback – 19 aug 2025

Descoperim în MongoDB in Action, Third Edition un ghid tehnic comprehensiv care se adresează atât dezvoltatorilor, cât și administratorilor de baze de date, indiferent de nivelul de experiență prealabil cu sistemele NoSQL. Reținem că această ediție este complet revizuită pentru a reflecta specificațiile MongoDB 8.0, punând un accent deosebit pe integrarea cu platforma cloud Atlas și pe noile cerințe ale aplicațiilor moderne de inteligență artificială. Structura volumului este riguros organizată, pornind de la fundamentele modelării datelor de tip document și operațiunile CRUD, până la concepte complexe de arhitectură. Subliniem introducerea capitolelor dedicate căutării semantice (Vector Search) și procesării fluxurilor de date în timp real prin Atlas Stream Processing. Cititorul care a aplicat deja conceptele fundamentale din Mongodb: The Definitive Guide va găsi aici o continuare firească, axată pe implementări de ultimă oră, precum crearea unui chatbot bazat pe RAG (Retrieval-Augmented Generation) sau utilizarea Atlas CLI pentru managementul clusterelor. Spre deosebire de MongoDB Recipes, care se concentrează pe soluții punctuale la probleme specifice, lucrarea lui Arek Borucki oferă o viziune sistemică. Sunt analizate în detaliu mecanismele de sharding, replicarea și strategiile de backup, oferind în același timp instrumente practice pentru optimizarea interogărilor lente. Un element distinctiv este includerea interfeței Atlas SQL, care permite interogarea datelor NoSQL folosind sintaxa SQL familiară, facilitând astfel tranziția pentru specialiștii care vin din zona bazelor de date relaționale.

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Specificații

ISBN-13: 9781633436077
ISBN-10: 1633436071
Pagini: 576
Dimensiuni: 185 x 238 x 31 mm
Greutate: 1.02 kg
Ediția:3
Editura: Manning Publications

De ce să citești această carte

Recomandăm această carte profesioniștilor IT care doresc să stăpânească ecosistemul MongoDB 8.0. Cititorul câștigă competențe practice în gestionarea bazelor de date scalabile și, mai ales, în utilizarea Vector Search pentru aplicații AI. Este o resursă esențială pentru a trece de la administrarea locală la o infrastructură modernă, multi-cloud, utilizând eficient platforma Atlas.

Descriere

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 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. 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 features—from 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 eBook (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.