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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 Jan 2024
Publisher Packt
ISBN-13 9781835460474
Pages 434 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 1. Chapter 1: Introduction to MongoDB 2. Chapter 2: The MongoDB Architecture 3. Chapter 3: Developer Tools 4. Chapter 4: Connecting to MongoDB 5. Chapter 5: CRUD Operations and Basic Queries 6. Chapter 6: Schema Design and Data Modeling 7. Chapter 7: Advanced Querying in MongoDB 8. Chapter 8: Aggregation 9. Chapter 9: Multi-Document ACID Transactions 10. Chapter 10: Index Optimization 11. Chapter 11: MongoDB Atlas: Powering the Future of Developer Data Platforms 12. Chapter 12: Monitoring and Backup in MongoDB 13. Chapter 13: Introduction to Atlas Search 14. Chapter 14: Integrating Applications with MongoDB 15. Chapter 15: Security 16. Chapter 16: Auditing 17. Chapter 17: Encryption 18. Index 19. Other Books You May Enjoy

Atlas Data Federation

MongoDB Atlas Data Federation is a comprehensive data integration tool that manages operations on data from diverse sources. It is a distributed query engine that enables you to query, transform, and move data across various sources inside and outside of MongoDB Atlas. This feature provides a seamless way to work with data from different locations, reducing the complexity of data management.

Atlas Data Federation can now be deployed in Microsoft Azure as well as querying Microsoft Azure Blob Storage. Previously, Data Federation could be deployed only to infrastructure hosted in AWS. However, with the addition of Azure Blob Storage, Azure users can now query and analyze their data across multiple sources into a single, federated view.

Atlas Data Federation combines data from MongoDB Atlas clusters, Atlas Data Lake, and cloud storage into virtual databases and collections. The data remains in place and in its native format. You can get data insights quickly...

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