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Vare #:
203254474
Designing Data-Intensive Applications for Developers: A Practical Guide to Building Reliable and Scalable Data Systems
Vare #:
203254474
DKK 239
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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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Hvad der skiller sig ud
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.
Produktdetaljer
- 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 bør købe?
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Software Developers
Ideal for developers looking to design efficient data systems and improve their understanding of data management principles.
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Technical Architects
Useful for architects who need to strategize and implement scalable and reliable data architectures in their organizations.
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Data Engineers
Beneficial for data engineers focused on building and maintaining robust data pipelines and handling complex data challenges.
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Beginner Programmers
May not be suitable for beginners lacking foundational knowledge in data systems and application design principles.
Produktbeskrivelse
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Kundespørgsmål og svar
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spørgsmål:
Who is this book intended for?
svar: This book is intended for software engineers and data engineers. -
spørgsmål:
What key concepts does the book cover?
svar: The book covers data models, storage mechanisms, failure handling, and processing techniques. -
spørgsmål:
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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DKK 239
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Egenskaber og fordele
- 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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