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Practical MongoDB Aggregations

You're reading from Practical MongoDB Aggregations The official guide to developing optimal aggregation pipelines with MongoDB 7.0

Product type Paperback

Published in Sep 2023

Publisher Packt

ISBN-13 9781835080641

Length 312 pages

Edition 1st Edition

Languages

JavaScript

Tools

MongoDB

Concepts

Database Programming

Author (1):

Paul Done

View More author details

Table of Contents (20) Chapters

Preface

1. Chapter 1: MongoDB Aggregations Explained

2. Part 1: Guiding Tips and Principles FREE CHAPTER

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

Why subscribe?

18. Other books you may enjoy

Appendix

Who this book is for

This book is for developers, architects, data analysts, data engineers, and data scientists who have a foundational grasp of MongoDB and preliminary experience with its aggregation framework; that is, a working knowledge of MongoDB is assumed. This book is not for beginners who want to learn about aggregation pipelines from the ground up.

Given the programming-centric approach of MongoDB aggregations, this book is for readers with some coding experience. While knowledge of JavaScript is advantageous, proficiency in any modern programming language is sufficient.

This book will empower readers to elevate their capabilities regarding the richness, agility, performance, and scalability of the pipelines they develop.

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Authors (1)

Paul Done

Paul Done

Paul Done is a Field CTO at MongoDB Inc., having been a Solutions Architect for the past decade at MongoDB. He has previously held roles in various software disciplines, including engineering, consulting, and pre-sales, at companies like Oracle, Novell, and BEA Systems. Paul specializes in databases and middleware, focusing on resiliency, scalability, transactions, event processing, and applying evolvable data model approaches. He spent most of the early 2000s building Java EE (J2EE) transactional systems on WebLogic, integrated with relational databases like Oracle RAC and messaging systems like MQ Series.

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