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Redis Stack for Application Modernization

You're reading from  Redis Stack for Application Modernization

Product type Book
Published in Dec 2023
Publisher Packt
ISBN-13 9781837638185
Pages 336 pages
Edition 1st Edition
Languages
Authors (2):
Luigi Fugaro Luigi Fugaro
Profile icon Luigi Fugaro
Mirko Ortensi Mirko Ortensi
Profile icon Mirko Ortensi
View More author details

Table of Contents (18) Chapters

Preface 1. Part 1: Introduction to Redis Stack
2. Chapter 1: Introducing Redis Stack 3. Chapter 2: Developing Modern Use Cases with Redis Stack 4. Chapter 3: Getting Started with Redis Stack 5. Chapter 4: Setting Up Client Libraries 6. Part 2: Data Modeling
7. Chapter 5: Redis Stack as a Document Store 8. Chapter 6: Redis Stack as a Vector Database 9. Chapter 7: Redis Stack as a Time Series Database 10. Chapter 8: Understanding Probabilistic Data Structures 11. Part 3: From Development to Production
12. Chapter 9: The Programmability of Redis Stack 13. Chapter 10: RedisInsight – the Data Management GUI 14. Chapter 11: Using Redis Stack as a Primary Database 15. Chapter 12: Managing Development and Production Environments 16. Index 17. Other Books You May Enjoy

Count-Min sketch

The Count-Min sketch probabilistic data structure, like HyperLogLog, counts the items that have been added, with the difference that the Count-Min sketch counts the number of times specific items have been added – that is, their frequency.

When using a Count-Min sketch data structure, any frequency counts below a predetermined threshold (established by the error rate) should be disregarded. The Count-Min sketch serves as a valuable tool for counting element frequencies in a data stream, especially when dealing with higher counts. Nevertheless, very low counts are often perceived as noise and are typically discarded in this context. To start using the data structure, we have the option to initialize it either based on the probabilities to be maintained or on the desired dimensions. It is important to note that the dimensions of the Count-Min sketch play a significant role because to merge two Count-Min sketches, they must have identical dimensions.

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