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Redis Stack for Application Modernization

Redis Stack for Application Modernization

By : Luigi Fugaro, Ortensi
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Redis Stack for Application Modernization

Redis Stack for Application Modernization

5 (2)
By: Luigi Fugaro, Ortensi

Overview of this book

In modern applications, efficiency in both operational and analytical aspects is paramount, demanding predictable performance across varied workloads. This book introduces you to Redis Stack, an extension of Redis and guides you through its broad data modeling capabilities. With practical examples of real-time queries and searches, you’ll explore Redis Stack’s new approach to providing a rich data modeling experience all within the same database server. You’ll learn how to model and search your data in the JSON and hash data types and work with features such as vector similarity search, which adds semantic search capabilities to your applications to search for similar texts, images, or audio files. The book also shows you how to use the probabilistic Bloom filters to efficiently resolve recurrent big data problems. As you uncover the strengths of Redis Stack as a data platform, you’ll explore use cases for managing database events and leveraging introduce stream processing features. Finally, you’ll see how Redis Stack seamlessly integrates into microservices architectures, completing the picture. By the end of this book, you’ll be equipped with best practices for administering and managing the server, ensuring scalability, high availability, data integrity, stored functions, and more.
Table of Contents (18 chapters)
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1
Part 1: Introduction to Redis Stack
6
Part 2: Data Modeling
11
Part 3: From Development to Production

Redis Stack as a Document Store

The traditional data modeling technique of using Redis’ core data types is possible with Redis Stack, which means that we can model an object using the popular Hash data structure, for example. This chapter presents Redis Stack’s capability to perform real-time queries and searches against the Hash data type, with the advantages of secondary indexing and additional search features. After that, we will discover how data modeling can be addressed using the JSON data structure. We will present different search and query features, from full-text to tagging, from aggregation to auto-completion, so that you understand how to use Redis Stack as a document store with advanced features.

By the end of this chapter, you will know how to rethink the data model of your application and use Redis Stack data structures to perform real-time queries and searches. You will also know how to use Hash and JSON data structures to store, query, and search documents...

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