Mastering Database Performance Optimization And Scalability
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Mastering Database Performance Optimization and Scalability
Unlock the Secrets to Optimal Database Performance and Scalability with "Mastering Database Performance Optimization and Scalability" In the fast-paced world of data-driven applications, the ability to deliver high-performance, scalable databases is essential. "Mastering Database Performance Optimization and Scalability" is your comprehensive guide to mastering the art of crafting databases that excel in both speed and capacity. Whether you're a seasoned database professional or a newcomer to the world of performance tuning, this book equips you with the knowledge and skills needed to unlock the true potential of your databases. About the Book: "Mastering Database Performance Optimization and Scalability" takes you on an enlightening journey through the intricacies of crafting high-performance databases. From foundational concepts to advanced techniques, this book covers it all. Each chapter is meticulously designed to provide both a deep understanding of the concepts and practical applications in real-world scenarios. Key Features: · Foundational Principles: Build a strong foundation by understanding the core principles of database performance, including query optimization, indexing, and data modeling. · Optimizing Query Performance: Master the art of writing efficient queries, leveraging indexes, and employing optimization techniques to dramatically improve query response times. · Scaling Strategies: Dive into strategies for horizontal and vertical scaling, including sharding, partitioning, and load balancing, to ensure your databases can handle growing workloads. · Caching and In-Memory Processing: Learn how to effectively implement caching strategies and leverage in-memory databases to boost performance for real-time applications. · Data Partitioning and Distribution: Explore techniques for partitioning and distributing data across clusters to ensure optimal data distribution and access. · Monitoring and Tuning: Discover best practices for monitoring database performance, identifying bottlenecks, and using profiling tools to fine-tune your databases. · Cloud and Container Optimization: Learn how to optimize database performance in cloud environments and containerized deployments, ensuring seamless scalability. · Real-World Use Cases: Gain insights from real-world examples spanning industries, from e-commerce and social media to finance and beyond. · High Availability and Disaster Recovery: Understand strategies for ensuring high availability, implementing disaster recovery plans, and maintaining data integrity. Who This Book Is For: "Mastering Database Performance Optimization and Scalability" is designed for database administrators, developers, and anyone seeking to optimize and scale databases for optimal performance. Whether you're aiming to enhance your skills or embark on a journey toward becoming a performance tuning expert, this book provides the insights and tools to navigate the complexities of database optimization. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com
Mastering Efficient Software Design Practices: Master Scalable and High Performance Software Development using Agile, DevOps, CI/CD, Git, Docker, and Kubernetes
Author: Paulo Cardoso
language: en
Publisher: Orange Education Pvt Limited
Release Date: 2025-04-29
Build Secure, Scalable, and Efficient Software with Modern Best Practices. Key Features● Master Agile, DevOps, CI/CD, and scalable software architectures● Ensure code quality, security, and high-performance computing● Apply real-world best practices with hands-on case studies Book DescriptionIn today’s fast-paced digital era, efficient software design is the key to building secure, scalable, and high-performing applications. Mastering Efficient Software Design Practices serves as a comprehensive guide for developers, engineers, and architects seeking to enhance their technical expertise and streamline software development workflows. This book covers essential principles, from foundational coding methodologies and version control with Git to Agile, DevOps, and Test-Driven Development (TDD). Readers will learn how to implement Continuous Integration and Continuous Delivery (CI/CD), improve code quality, enforce security best practices, and optimize performance. Real-world examples, case studies, and best practices ensure that theoretical concepts translate into practical skills. By the end of this book, readers will have a solid grasp of modern software development methodologies and the confidence to build robust, maintainable, and future-proof software solutions. Whether you're an aspiring developer or an experienced engineer, this book equips you with the tools and insights needed to thrive in today’s evolving tech landscape. Stay ahead of the curve—master these essential practices before you get left behind! What you will learn● Apply Agile, DevOps, and CI/CD to streamline software development.● Design secure, scalable, and maintainable software architectures.● Use Git, Docker, and Kubernetes for seamless team collaboration.● Write high-quality, testable code with automated testing strategies.● Optimize software performance and ensure scalability under load.● Leverage user-centered design and analytics for better UX decisions.
Database Design and Modeling with PostgreSQL and MySQL
Author: Alkin Tezuysal
language: en
Publisher: Packt Publishing Ltd
Release Date: 2024-07-26
Become well-versed with database modeling and SQL optimization, and gain a deep understanding of transactional systems through practical examples and exercises Key Features Get to grips with fundamental-to-advanced database design and modeling concepts with PostgreSQL and MySQL Explore database integration with web apps, emerging trends, and real-world case studies Leverage practical examples and hands-on exercises to reinforce learning Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionDatabase Design and Modeling with PostgreSQL and MySQL will equip you with the knowledge and skills you need to architect, build, and optimize efficient databases using two of the most popular open-source platforms. As you progress through the chapters, you'll gain a deep understanding of data modeling, normalization, and query optimization, supported by hands-on exercises and real-world case studies that will reinforce your learning. You'll explore topics like concurrency control, backup and recovery strategies, and seamless integration with web and mobile applications. These advanced topics will empower you to tackle complex database challenges confidently and effectively. Additionally, you’ll explore emerging trends, such as NoSQL databases and cloud-based solutions, ensuring you're well-versed in the latest developments shaping the database landscape. By embracing these cutting-edge technologies, you'll be prepared to adapt and innovate in today's ever-evolving digital world. By the end of this book, you’ll be able to understand the technologies that exist to design a modern and scalable database for developing web applications using MySQL and PostgreSQL open-source databases.What you will learn Design a schema, create ERDs, and apply normalization techniques Gain knowledge of installing, configuring, and managing MySQL and PostgreSQL Explore topics such as denormalization, index optimization, transaction management, and concurrency control Scale databases with sharding, replication, and load balancing, as well as implement backup and recovery strategies Integrate databases with web apps, use SQL, and implement best practices Explore emerging trends, including NoSQL databases and cloud databases, while understanding the impact of AI and ML Who this book is for This book is for a wide range of professionals interested in expanding their knowledge and skills in database design and modeling with PostgreSQL and MySQL. This includes software developers, database administrators, data analysts, IT professionals, and students. While prior knowledge of MySQL and PostgreSQL is not necessary, some familiarity with at least one relational database management system (RDBMS) will help you get the most out of this book.