Data Access Patterns


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Design Patterns for Cloud Native Applications


Design Patterns for Cloud Native Applications

Author: Kasun Indrasiri

language: en

Publisher: "O'Reilly Media, Inc."

Release Date: 2021-05-17


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With the immense cost savings and scalability the cloud provides, the rationale for building cloud native applications is no longer in question. The real issue is how. With this practical guide, developers will learn about the most commonly used design patterns for building cloud native applications using APIs, data, events, and streams in both greenfield and brownfield development. You'll learn how to incrementally design, develop, and deploy large and effective cloud native applications that you can manage and maintain at scale with minimal cost, time, and effort. Authors Kasun Indrasiri and Sriskandarajah Suhothayan highlight use cases that effectively demonstrate the challenges you might encounter at each step. Learn the fundamentals of cloud native applications Explore key cloud native communication, connectivity, and composition patterns Learn decentralized data management techniques Use event-driven architecture to build distributed and scalable cloud native applications Explore the most commonly used patterns for API management and consumption Examine some of the tools and technologies you'll need for building cloud native systems

Data Access Patterns


Data Access Patterns

Author: Clifton Nock

language: en

Publisher: Addison-Wesley Professional

Release Date: 2004


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bull; The patterns presented in this book are platform and product independent bull; Provides answers to data challenges in architecture, resource, input and output, cache, and concurrency bull; Defines a consistent vocabulary that readers can use to discuss data access issues

Data Patterns: Efficient Solutions for Optimal Database Interactions


Data Patterns: Efficient Solutions for Optimal Database Interactions

Author: Pasquale De Marco

language: en

Publisher: Pasquale De Marco

Release Date: 2025-04-20


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In the ever-evolving landscape of software development, data access remains a cornerstone of application functionality and performance. "Data Patterns: Efficient Solutions for Optimal Database Interactions" emerges as an indispensable guide, arming developers with a comprehensive arsenal of proven patterns to conquer the challenges of modern data management. This meticulously crafted book unveils 25 battle-tested data access patterns, each meticulously explained and illustrated with real-world examples. These patterns serve as a roadmap for designing and implementing data access layers that are robust, efficient, and scalable. Delve into the realm of decoupling techniques to enhance maintainability, discover resource management strategies for optimal performance, and master input/output tactics for seamless data handling. Unlock the potential of caching strategies to improve responsiveness, explore concurrency control mechanisms to ensure data integrity, and delve into advanced patterns for complex data interactions. But "Data Patterns" goes beyond mere technical exposition. It delves into the realm of best practices and emerging trends, providing invaluable insights into the latest advancements in data access technologies. Navigate the ever-changing landscape of data management with confidence, armed with the knowledge to select the most appropriate pattern for your specific requirements. Whether you are a seasoned developer seeking to refine your data access skills or a novice embarking on your journey into this domain, this book promises to be an indispensable resource. Its comprehensive coverage, practical examples, and insightful discussions make it an invaluable companion for building high-performance, scalable, and maintainable data-driven applications. Embrace the power of data patterns and unlock a new era of data access efficiency and innovation. "Data Patterns: Efficient Solutions for Optimal Database Interactions" stands as an essential resource for every software developer, architect, and designer seeking to unlock the full potential of data access. If you like this book, write a review on google books!