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REDIS STACK FOR APPLICATION MODERNIZATION [electronic resource] : build real-time multi-model applications at any scale with Redis / Luigi Fugaro, Mirko Ortensi

Author
Fugaro, Luigi
Published
Birmingham, UK : Packt Publishing Ltd., 2023.
Edition
1st edition.
Physical Description
1 online resource
Additional Creators
Ortensi, Mirko
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Contents
Cover -- Title Page -- Copyright -- Dedication -- Contributors -- Table of Contents -- Preface -- Part 1: Introduction to Redis Stack -- Chapter 1: Introducing Redis Stack -- Technical requirements -- Exploring the history of Redis -- The open source project -- From key-value to multi-model real-time databases -- Primary key lookup -- Secondary key lookup -- Pipelining -- Using functions -- Using indexes -- Redis Stack capabilities -- So, what is Redis Stack? -- Redis Stack deployment types -- Summary -- Chapter 2: Developing Modern Use Cases with Redis Stack -- Technical requirements, Caching, rate-limiting, geo-positioning, and other Redis traditional use cases -- Caching -- Session store -- Rate limiter -- Leaderboards -- Data deduplication -- Geo-positioning -- Message processing and delivery -- Going beyond the real-time cache with Redis Stack -- Querying, indexing, and search -- Monitoring and analysis -- Fraud detection -- Feature store for machine learning -- Designing microservice architectures with Redis Stack -- API gateway -- Summary -- Chapter 3: Getting Started with Redis Stack -- Installing Redis Stack using binary packages, Installing Redis Stack using native packages -- macOS-native package -- Linux-native package -- Running Redis Stack using Docker -- Using Redis Cloud -- Installing RedisInsight -- Installing the Redis Stack client libraries -- Java client library -- JavaScript client library -- Python client library -- Golang client library -- C#/.NET client library -- Running health checks -- Summary -- Chapter 4: Setting Up Client Libraries -- Technical requirements -- Redis Stack client libraries -- Programming in Python using redis-py -- Storing information in Redis Stack using Python -- Redis OM for Python, Programming in Java using Jedis -- Storing information in Redis Stack using Java -- Redis OM for Java -- Programming in JavaScript using node-redis -- Redis OM for JavaScript -- Programming in Go using go-redis -- Storing information in Redis Stack using Go -- Programming in C#/.NET using NRedisStack -- Storing information in Redis Stack using C#/.NET -- Redis OM for C#/.NET -- Summary -- Part 2: Data Modeling -- Chapter 5: Redis Stack as a Document Store -- Technical requirements -- Storing and querying documents in Redis Stack -- The dialect and other configuration parameters, and The query language -- Simple terms -- Using field modifiers -- Intersection of results (AND) -- Union of results (OR) -- Exact query matches -- Stop words -- Negation and purely negative queries -- Prefix, infix, and suffix queries -- Wildcard matching -- Fuzzy matching -- Numeric filters -- Tag filters -- Geospatial filters -- Aggregation and transformation -- Cursor-based requests -- Faceted search using aggregations -- Updating an index in production -- Temporary indexes -- Additional commands -- Working with Hashes -- Highlighting and summarizing -- Synonyms support -- Spellchecking
Summary
Discover the multi-model capabilities of Redis Stack as a document store and vector database, with support for time series, stream processing, probabilistic data structures, and more Key Features Model, index, and search data using JSON and vector data types Modernize your applications with vector similarity search, documents hybrid search, and more Configure a scalable, highly available, and secure server using RedisInsight Purchase of the print or Kindle book includes a free PDF eBook Book Description 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. What you will learn Get started with data modeling using JSON and hash documents, vectors, and time series Implement microservices patterns and resolve typical use cases Use probabilistic data structures to analyze datasets and streams Integrate Redis Stack into your Java, Python, C#, Golang, and Node.js projects Develop powerful data flows using triggers and stream processing features Manage your database server for scalability, high availability, and security Visualize and manage your data with RedisInsight Who this book is for This book is for database administrators, database developers, software developers, and software architects who want to discover the powerful real-time, multi-model capabilities of the Redis Stack database. A basic understanding of Redis and databases in general, coupled with software development skills in at least one of Java, Python, C#, Golang, or JavaScript languages will help you understand the concepts covered in this book.
Subject(s)
Genre(s)
ISBN
9781837637591 (electronic bk.)
1837637598 (electronic bk.)
1837638187
9781837638185
View MARC record | catkey: 43241190