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Practical MongoDB Aggregations

You're reading from  Practical MongoDB Aggregations

Product type Book
Published in Sep 2023
Publisher Packt
ISBN-13 9781835080641
Pages 312 pages
Edition 1st Edition
Languages
Author (1):
Paul Done Paul Done
Profile icon Paul Done

Table of Contents (20) Chapters

Preface 1. Chapter 1: MongoDB Aggregations Explained 2. Part 1: Guiding Tips and Principles
3. Chapter 2: Optimizing Pipelines for Productivity 4. Chapter 3: Optimizing Pipelines for Performance 5. Chapter 4: Harnessing the Power of Expressions 6. Chapter 5: Optimizing Pipelines for Sharded Clusters 7. Part 2: Aggregations by Example
8. Chapter 6: Foundational Examples: Filtering, Grouping, and Unwinding 9. Chapter 7: Joining Data Examples 10. Chapter 8: Fixing and Generating Data Examples 11. Chapter 9: Trend Analysis Examples 12. Chapter 10: Securing Data Examples 13. Chapter 11: Time-Series Examples 14. Chapter 12: Array Manipulation Examples 15. Chapter 13: Full-Text Search Examples 16. Afterword
17. Index 18. Other books you may enjoy Appendix

Afterword

And now you know everything there is to know about aggregations—at least, the essential knowledge.

I hope this book has been as helpful to you as it has been to all of us at MongoDB. I joined MongoDB in 2013, and one of the areas where I experienced the most difficulty was aggregations. The resource I turned to most frequently was Asya (Principal Engineer, MongoDB, Inc.), or Paul Done himself, and his numerous writings on the subject.

Here at MongoDB, we regularly use the aggregation framework to answer some of the most complex questions about our products. Aggregations provide analytical capabilities that are performant and scalable inside of MongoDB Atlas for millions of users. Knowing how to use the aggregation functionality provides our teams—product, analytics, data science, operations, and other business functions—with fast insights to power our decision making and priorities.

I would like to thank Paul Done, our author, for writing this...

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