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Mastering MongoDB 7.0 - Fourth Edition

You're reading from  Mastering MongoDB 7.0 - Fourth Edition

Product type Book
Published in Feb 2024
Publisher Packt
ISBN-13 9781835883501
Pages 398 pages
Edition 4th Edition
Languages
Concepts
Authors (7):
Marko Aleksendrić Marko Aleksendrić
Profile icon Marko Aleksendrić
Arek Borucki Arek Borucki
Profile icon Arek Borucki
Leandro Domingues Leandro Domingues
Profile icon Leandro Domingues
Malak Abu Hammad Malak Abu Hammad
Profile icon Malak Abu Hammad
Elie Hannouch Elie Hannouch
Profile icon Elie Hannouch
Rajesh Nair Rajesh Nair
Profile icon Rajesh Nair
Rachelle Palmer Rachelle Palmer
Profile icon Rachelle Palmer
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Table of Contents (20) Chapters

Preface Chapter 1: Introduction to MongoDB Chapter 2: The MongoDB Architecture Chapter 3: Developer Tools Chapter 4: Connecting to MongoDB Chapter 5: CRUD Operations and Basic Queries Chapter 6: Schema Design and Data Modeling Chapter 7: Advanced Querying in MongoDB Chapter 8: Aggregation Chapter 9: Multi-Document ACID Transactions Chapter 10: Index Optimization Chapter 11: MongoDB Atlas: Powering the Future of Developer Data Platforms Chapter 12: Monitoring and Backup in MongoDB Chapter 13: Introduction to Atlas Search Chapter 14: Integrating Applications with MongoDB Chapter 15: Security Chapter 16: Auditing Chapter 17: Encryption Index Other Books You May Enjoy

Summary

MongoDB Atlas Search is a powerful, integrated full-text search solution that simplifies the development of relevance-based application features, and ensures real-time data synchronization. Its seamless integration with MongoDB Atlas and Apache Lucene provides a streamlined and efficient solution for implementing full-text search functionality.

Atlas Search features, such as rich query DSL, fuzzy search, synonyms, custom scoring, a visual editor, autocomplete, fast faceting, and highlighting, allow you to build sophisticated search logic, return relevant search results despite typos or spelling errors, define similar search terms, control how search results are scored and ranked, and more.

Atlas Search integrates with Apache Lucene by embedding a Lucene node within each Atlas cluster, which is responsible for handling search indexing and querying. The integration is achieved through a dedicated mongot Java web process that runs alongside mongod on each node in the Atlas...

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