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Practical MongoDB Aggregations

You're reading from  Practical MongoDB Aggregations

Product type Book
Published in Mar 2024
Publisher Packt
ISBN-13 9781835884362
Pages 278 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

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...

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