Arek Borucki

MongoDB 8.0 in Action, Third Edition (eBook, ePUB)

Building on the Atlas Data Platform

• Format: ePub

Produktbeschreibung

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.

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Produktdetails

• Verlag: Simon + Schuster LLC
• Seitenzahl: 576
• Erscheinungstermin: 29. Juli 2025
• Englisch
• ISBN-13: 9781638357612
• Artikelnr.: 74854144

Autorenporträt

Arek Borucki is a MongoDB Champion, seasoned Principal Database Engineer, certified MongoDB SI Architect, certified MongoDB and MongoDB Atlas administrator.