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Designing Data-Intensive Applications for Developers: A Practical Guide to Building Reliable and Scalable Data Systems
Designing Data-Intensive Applications for Developers: A Practical Guide to Building Reliable and Scalable Data Systems
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Designing Data-Intensive Applications for Developers: A Practical Guide to Building Reliable and Scalable Data Systems
Designing Data-Intensive Applications for Developers: A Practical Guide to Building Reliable and Scalable Data Systems
Designing Data-Intensive Applications for Developers is a practical, developer-first guide to building systems that remain reliable and scalable under real-world conditions.
Designing Data-Intensive Applications for Developers: A Practical Guide to Building Reliable and Scalable Data Systems
vare #: 203254474

Designing Data-Intensive Applications for Developers: A Practical Guide to Building Reliable and Scalable Data Systems

vare #: 203254474

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Designing Data-Intensive Applications for Developers is a practical, developer-first guide to building systems that remain reliable and scalable under real-world conditions.
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Det som utmerker seg

Practical Guidance
Offers hands-on approaches and practical advice that empowers developers to effectively design and implement robust data systems tailored to real-world scenarios.
Scalability Focus
Equips developers with strategies to build scalable systems, ensuring applications can handle growth in data volumes and user demand without compromising performance.
Reliability Insights
Covers essential principles of reliability in data systems, guiding developers to create resilient applications that guarantee data integrity and uptime.

Produkt detaljer

Shop Designing Data-Intensive Applications for Developers: A Practical Guide to Building Reliable and Scalable Data Systems online at a best price in NORGE. B0GD8CDPVL
  • Modern applications live or die by how well they manage data. As systems grow, developers must confront challenges such as scalability bottlenecks, data consistency, operational reliability, and evolving data models—all while navigating an increasingly complex ecosystem of databases, messaging systems, and processing frameworks.Designing Data-Intensive Applications for Developers is a practical, developer-first guide to building systems that remain reliable and scalable under real-world conditions. This book focuses on how data-intensive systems behave in production and how everyday design decisions impact performance, resilience, and long-term maintainability.Readers will learn how to choose appropriate data models, understand storage and retrieval mechanisms, design for replication and partitioning, and handle failures gracefully. The book also explores batch and stream processing, data pipelines, and operational considerations that often surface only after systems are deployed.This volume is ideal for software engineers and data engineers who want to move beyond using data systems as black boxes and begin designing applications that scale confidently as complexity grows.
Publisher Independently published
Publication date December 21, 2025
Language English
Print length 143 pages
ISBN-13 979-8279287697
Item Weight 12 ounces (340.2 grams)
Dimensions 7.24 x 0.52 x 10.24 inches (18.4 x 1.3 x 26 cm)
Book 1 of 2 Designing Data-Intensive Applications Series

Hvem passer produktet for?

Suitable For
  • Software Developers

    Ideal for developers looking to design efficient data systems and improve their understanding of data management principles.

  • Technical Architects

    Useful for architects who need to strategize and implement scalable and reliable data architectures in their organizations.

  • Data Engineers

    Beneficial for data engineers focused on building and maintaining robust data pipelines and handling complex data challenges.

Not Suitable For
  • Beginner Programmers

    May not be suitable for beginners lacking foundational knowledge in data systems and application design principles.

PRODUKTBESKRIVELSE

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Kundespørsmål og svar

  • Spørsmål: Who is this book intended for?

    Svar: This book is intended for software engineers and data engineers.
  • Spørsmål: What key concepts does the book cover?

    Svar: The book covers data models, storage mechanisms, failure handling, and processing techniques.
  • Spørsmål: How does this book help developers?

    Svar: It helps developers understand data systems beyond black box usage and build scalable applications.

AI & Machine Learning Editorial Review

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NOK 363

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Funksjoner og fordeler

  • A practical guide for developers to build reliable data systems.
  • Focuses on scalability, data consistency, and operational reliability.
  • Teaches handling of data models, storage, and retrieval mechanisms.
  • Covers replication, partitioning, and graceful failure handling.
  • Explores batch and stream processing along with data pipelines.
  • Ideal for software and data engineers looking to enhance application scalability.

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