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    1. Data och IT
    2. Informationsteknik: allmänt

    MongoDB 8.0 in Action, Third Edition

    Building on the Atlas Data Platform

    AvArek Borucki

    E-bok
    Engelska, 2025

    645 kr

    Läs direkt i Bokus Reader – eller ladda ned till din enhet

    Beskrivning

    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 MongoDBs 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 8.0Create your first, free Atlas cluster using the Atlas CLIDesign scalable NoSQL databases with effective data modeling techniquesMaster Vector Search for building GenAI-driven applicationsUtilize advanced search capabilities in MongoDB Atlas, including full-text searchBuild Event-Driven Applications with Atlas Stream ProcessingDeploy and manage MongoDB Atlas clusters both locally and in the cloud using the 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 queriesMongoDB 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 technologyMongoDB 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 bookMongoDB 8.0 in Action, Third Edition youll learn how to take advantage of all the new features of MongoDB 8.0, including the powerful MongoDB Atlas multi-cloud data platform. Youll start with the basics of setting up and managing a document database. Then, youll 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 youll really put MongoDB into action!What's insideThe new features in MongoDB 8.0Utilizing sharding enhancementsUsing vector-based search technologiesFull-text search capabilities for efficient text indexing and queryingAbout the readerFor developers and DBAs of all levels. No prior experience with MongoDB required.About the authorArek Borucki is a MongoDB Champion, certified MongoDB and MongoDB Atlas administrator with expertise in distributed systems, NoSQL databases, and Kubernetes.

    Produktinformation

    • Utgivningsdatum:2025-07-29
    • Språk:Engelska
    • Filformat:EPUB
    • Kopieringsskydd:LCP
    • ISBN:9781638357612
    • Förlag:Manning

    Utforska kategorier

    • Informationsteknik: allmänt inom Data och IT
    • Programspråk inom Data och IT
    • Systemvetenskap och AI inom Data och IT