Book Image

Practical MongoDB Aggregations

By : Paul Done
Book Image

Practical MongoDB Aggregations

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)
2
Part 1: Guiding Tips and Principles
7
Part 2: Aggregations by Example
16
Afterword

Incremental analytics

As a company matures, its volume of historical business data expands. This growth presents a significant challenge for the business intelligence department tasked with producing daily sales reports that must capture trends spanning years. The rising data volume increasingly delays the reporting process, impeding swift decision-making based on current financial data. The following example shows how you can avoid an increasing slowdown in reporting.

Scenario

You have accumulated shop orders over many years, with the retail channel continuously adding new order records to the orders collection throughout each trading day. You want to frequently generate a summary report so management can understand the state of the business and react to changing business trends. Over the years, it has taken increasingly longer to generate the report of all daily sums and averages because there has been increasingly more data to process each day.

From now on, to address this...