Delete Data From Redis
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Redis Unlocked: Advanced Techniques and Strategies for Efficient Data Management
Unlock the full potential of Redis and elevate your application's performance with "Redis Unlocked: Advanced Techniques and Strategies for Efficient Data Management." This expertly crafted guide is essential for mastering Redis, the dynamic in-memory database renowned for its speed and flexibility. Whether you're new to Redis or an experienced developer aiming to enhance your expertise, this book offers a profound exploration of Redis’s rich feature set. The book opens with a thorough introduction to Redis, its core principles, and architectural design before delving into advanced topics, including sophisticated data structures, comprehensive memory management, and key operations. Discover the intricacies of transactions, pipelines, the Pub/Sub model, and effective strategies for securing and managing Redis instances. It also covers persistence strategies, backup solutions, clustering, high availability, and provides valuable insights into performance tuning and optimization. "Redis Unlocked" blends foundational knowledge with advanced topics, equipping you with the skills to design, optimize, and manage Redis deployments that scale dynamically and maintain superior performance under challenging workloads. You'll find practical examples, real-world case studies, and best practices to guide you in leveraging Redis's full capabilities in your solutions. Embark on this advanced journey with "Redis Unlocked: Advanced Techniques and Strategies for Efficient Data Management" and harness Redis's power to build fast, scalable, and resilient applications.
Data Science
This two-volume set (CCIS 1879 and 1880) constitutes the refereed proceedings of the 9th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2023 held in Harbin, China, during September 22–24, 2023. The 52 full papers and 14 short papers presented in these two volumes were carefully reviewed and selected from 244 submissions. The papers are organized in the following topical sections: Part I: Applications of Data Science, Big Data Management and Applications, Big Data Mining and Knowledge Management, Data Visualization, Data-driven Security, Infrastructure for Data Science, Machine Learning for Data Science and Multimedia Data Management and Analysis. Part II: Data-driven Healthcare, Data-driven Smart City/Planet, Social Media and Recommendation Systems and Education using big data, intelligent computing or data mining, etc.
Kubernetes for Developers
Author: William Denniss
language: en
Publisher: Simon and Schuster
Release Date: 2024-03-19
Kubernetes has changed everything about deploying applications to the cloud--for the better! Kubernetes for Developers is a clear and practical beginner's guide that shows you just how easy, flexible, and cost-effective it can be to make the switch to Kubernetes deployment even for small to medium-sized applications. You'll learn how to migrate your existing apps onto Kubernetes without a rebuild, and implement modern cloud native architectures that can handle your future growth. You'll take advantage of the powerful automation tools in Google Kubernetes Engine to perform automatic checks and scaling, giving you more time to spend developing great applications!