Redis Stack for Application Modernization (eBook)
336 Seiten
Packt Publishing (Verlag)
978-1-83763-759-1 (ISBN)
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.
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 moreKey FeaturesModel, index, and search data using JSON and vector data typesModernize your applications with vector similarity search, documents hybrid search, and moreConfigure a scalable, highly available, and secure server using RedisInsightPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionIn 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 learnGet started with data modeling using JSON and hash documents, vectors, and time seriesImplement microservices patterns and resolve typical use casesUse probabilistic data structures to analyze datasets and streamsIntegrate Redis Stack into your Java, Python, C#, Golang, and Node.js projectsDevelop powerful data flows using triggers and stream processing featuresManage your database server for scalability, high availability, and securityVisualize and manage your data with RedisInsightWho this book is forThis 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.]]>
| Erscheint lt. Verlag | 29.12.2023 |
|---|---|
| Sprache | englisch |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Informatik ► Weitere Themen ► Hardware | |
| ISBN-10 | 1-83763-759-8 / 1837637598 |
| ISBN-13 | 978-1-83763-759-1 / 9781837637591 |
| Haben Sie eine Frage zum Produkt? |
EPUB (Ohne DRM)Digital Rights Management: ohne DRM
Dieses eBook enthält kein DRM oder Kopierschutz. Eine Weitergabe an Dritte ist jedoch rechtlich nicht zulässig, weil Sie beim Kauf nur die Rechte an der persönlichen Nutzung erwerben.
Dateiformat: EPUB (Electronic Publication)
EPUB ist ein offener Standard für eBooks und eignet sich besonders zur Darstellung von Belletristik und Sachbüchern. Der Fließtext wird dynamisch an die Display- und Schriftgröße angepasst. Auch für mobile Lesegeräte ist EPUB daher gut geeignet.
Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür die kostenlose Software Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür eine kostenlose App.
Geräteliste und zusätzliche Hinweise
Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.
aus dem Bereich
