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Redis Stack for Application Modernization

You're reading from Redis Stack for Application Modernization Build real-time multi-model applications at any scale with Redis

Product type Paperback

Published in Dec 2023

Publisher Packt

ISBN-13 9781837638185

Length 336 pages

Edition 1st Edition

Languages

C#

Tools

Redis

Concepts

Database Administration

Authors (2):

Mirko Ortensi

Luigi Fugaro

View More author details

Table of Contents (18) Chapters

Preface

1. Part 1: Introduction to Redis Stack

2. Chapter 1: Introducing Redis Stack FREE CHAPTER

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

Why subscribe?

17. Other Books You May Enjoy

Aggregation framework

The Redis Stack for Time Series aggregation framework provides functions that enable users to perform operations such as calculating the average, sum, minimum, maximum, count, or standard deviation of data points, within a specific time bucket or range. By using these functions, you can derive insights, detect trends, and analyze patterns in your time-series data more effectively.

The following is a list of aggregation functions:

avg: Calculates the average (mean) value of data points within a specified time bucket or range. It is useful for analyzing and summarizing time-series data to understand trends and patterns over time.
sum: Calculates the total (sum) of data points within a specified time bucket or range. It is useful for aggregating time-series data to understand the cumulative effect or total value of the data points over time.
min: Calculates the minimum value of data points within a specified time bucket or range. It is useful for...

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Authors (2)

Luigi Fugaro

Luigi Fugaro

Luigi Fugaro's first encounter with computers was in the early 80s when he was a kid. He started with a Commodore Vic-20, passing through a Sinclair, a Commodore 64, and an Atari ST 1040, where he spent days and nights giving breath mints to Otis. In 1998, he started his career as a webmaster doing HTML, JavaScript, Applets, and some graphics with Paint Shop Pro. He then switched to Delphi, Visual Basic, and then started working on Java projects. He has been developing all kinds of web applications, dealing with backend and frontend frameworks. In 2012, he started working for Red Hat and is now an architect in the EMEA Middleware team. He has authored WildFly Cookbook and Mastering JBoss Enterprise Application Platform 7 by Packt Publishing.

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Ortensi

Ortensi

Mirko Ortensi earned a degree in Electronic Engineering and a Master's degree in Software Engineering. Mirko's career has spanned several roles from Software Engineering to Customer Support, particularly centered around distributed database systems. As a Senior Technical Enablement Architect at Redis, Mirko shares technical knowledge about Redis's products and services.

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