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Mastering MongoDB 7.0

You're reading from   Mastering MongoDB 7.0 Achieve data excellence by unlocking the full potential of MongoDB

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Product type Paperback
Published in Jan 2024
Publisher Packt
ISBN-13 9781835460474
Length 434 pages
Edition 4th Edition
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Authors (7):
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Rajesh Nair Rajesh Nair
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Rajesh Nair
Leandro Domingues Leandro Domingues
Author Profile Icon Leandro Domingues
Leandro Domingues
Mr. Elie Hannouch Mr. Elie Hannouch
Author Profile Icon Mr. Elie Hannouch
Mr. Elie Hannouch
Arek Borucki Arek Borucki
Author Profile Icon Arek Borucki
Arek Borucki
Rachelle Palmer Rachelle Palmer
Author Profile Icon Rachelle Palmer
Rachelle Palmer
Malak Abu Hammad Malak Abu Hammad
Author Profile Icon Malak Abu Hammad
Malak Abu Hammad
Marko Aleksendrić Marko Aleksendrić
Author Profile Icon Marko Aleksendrić
Marko Aleksendrić
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Table of Contents (20) Chapters Close

Preface 1. Chapter 1: Introduction to MongoDB FREE CHAPTER 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

MongoDB aggregation framework

The MongoDB aggregation framework allows you to fine tune and process complex data on the server, drastically reducing the amount of data that is transferred to the application for further processing. The aggregation framework is an incredibly powerful data processing workhorse that enables you to:

  • Handle custom data presentations through views
  • Join data from different collections
  • Perform data science tasks, such as data wrangling and analysis
  • Handle big data
  • Run real-time analytics, monitor data, and create dashboards

MongoDB is centered around the concept that data should be easily retrievable and accessible to fit your application. As shown in Chapter 7, Advanced Querying in MongoDB, the querying framework—with its tunable parameters—is powerful. However, it may not always provide the precise data in the required shape or format. It may also lack the accompanying descriptive statistics that are frequently...

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