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Practical MongoDB Aggregations

Practical MongoDB Aggregations

By : Paul Done
5 (17)
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Practical MongoDB Aggregations

Practical MongoDB Aggregations

5 (17)
By: Paul Done

Overview of this book

Officially endorsed by MongoDB, Inc., Practical MongoDB Aggregations helps you unlock the full potential of the MongoDB aggregation framework, including the latest features of MongoDB 7.0. This book provides practical, easy-to-digest principles and approaches for increasing your effectiveness in developing aggregation pipelines, supported by examples for building pipelines to solve complex data manipulation and analytical tasks. This book is customized for developers, architects, data analysts, data engineers, and data scientists with some familiarity with the aggregation framework. It begins by explaining the framework's architecture and then shows you how to build pipelines optimized for productivity and scale. Given the critical role arrays play in MongoDB's document model, the book delves into best practices for optimally manipulating arrays. The latter part of the book equips you with examples to solve common data processing challenges so you can apply the lessons you've learned to practical situations. By the end of this MongoDB book, you’ll have learned how to utilize the MongoDB aggregation framework to streamline your data analysis and manipulation processes effectively.
Table of Contents (20 chapters)
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2
Part 1: Guiding Tips and Principles
7
Part 2: Aggregations by Example
16
Afterword
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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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