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Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
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Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
This book breaks down the internals of various databases and data processing systems, and it is great fun to explore the intelligent thinking that has gone into their design.
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
Artigo n.º: 4820994

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

90% of respondents would recommend this to a friend

Artigo n.º: 4820994

€ 77

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This book breaks down the internals of various databases and data processing systems, and it is great fun to explore the intelligent thinking that has gone into their design.
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O que se Destaca

Comprehensive Coverage
Offers in-depth insights into the principles of building reliable data systems, making complex concepts accessible for developers and engineers looking to enhance their data architecture skills.
Practical Guidance
Provides practical examples and best practices, helping readers to apply theoretical knowledge to real-world scenarios, thus improving their ability to design and maintain robust applications.
Focus on Scalability
Emphasizes scalable solutions for data-intensive applications, enabling organizations to grow their systems efficiently while ensuring high performance and reliability under varying loads.

Detalhes do produto

Shop online at Ubuy Portugal for Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems 1st Edition and build robust data systems.
  • Comprehensive guide by Martin Kleppmann on navigating the landscape of processing and storing data
  • Learn to make informed decisions on tools and technologies for data processing and storage
  • Understand trade-offs and principles around consistency, scalability, fault tolerance, and complexity
  • Suitable for software engineers, software architects, and technical managers involved in building web applications or network services
  • Does not cover detailed instructions on specific software packages or APIs, but focuses on fundamental principles and trade-offs
  • Features a bias toward free and open source software and explores the architecture of data systems integrated into data-intensive applications
Publisher O'Reilly Media
Publication date May 2, 2017
Edition 1st
Language English
Print length 614 pages
ISBN-10 1449373321
ISBN-13 978-1449373320
Dimensions 7 x 1.25 x 9.5 inches (17.8 x 3.2 x 24.1 cm)
Package Weight3 Pound

Quem Deverá Comprar?

Suitable For
  • Software Engineers

    Engineers looking to build reliable, scalable systems will gain essential insights into data management and architecture.

  • Data Architects

    Data architects can deepen their understanding of various data systems and improve their design approaches.

  • Technical Managers

    Managers overseeing data-heavy projects will benefit from an understanding of system design and infrastructure.

Not Suitable For
  • Beginner Programmers

    Novices may find the content too advanced and complex without foundational knowledge in data systems.

DESCRIÇÃO DO PRODUTO

About This Item

The "Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems" book is a must-have for anyone involved in e-commerce systems design and architecture. From the reliability and scalability of e-commerce systems to their maintainability, this book covers all aspects of creating data-intensive e-commerce applications. With the rapid growth of online shopping, it is crucial for businesses to build reliable e-commerce systems that can handle large volumes of data and traffic. This book provides insights into the strategies and techniques needed to ensure the dependability and availability of e-commerce systems. Scalability is another key factor in e-commerce systems.

As businesses grow, their systems must be able to handle increasing loads without compromising performance. The book delves into various approaches for designing scalable e-commerce systems and addresses the challenges that organizations may face in achieving this scalability. Maintainability is equally important in e-commerce systems. Businesses need systems that are easy to manage, update, and fix if issues arise.

This book examines best practices and techniques for building maintainable e-commerce systems, ensuring that businesses can easily make changes and improvements as necessary. In addition to reliability, scalability, and maintainability, this book covers other important aspects of e-commerce systems, including security, monitoring, optimization, recovery, and testing. It provides a comprehensive guide on how to design, implement, and manage e-commerce systems effectively. Whether you are an e-commerce systems architect, developer, or manager, this book is your ultimate resource for understanding the big ideas behind reliable, scalable, and maintainable e-commerce systems. It is packed with practical tips, design patterns, case studies, and implementation guidelines to help you build robust and high-performing e-commerce systems.

Don't miss out on this valuable resource that will take your e-commerce systems to the next level.

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Data Modeling & Design Editorial Review

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Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems offers profound insights into the complexities of distributed systems, making it essential for anyone in the field. It brilliantly covers how to choose the right technology for use cases, combining historical context with practical applications. Readers appreciate how it thoroughly explores subjects like scalability, durability, and the nuances between consistency models. With engaging explanations of various data systems and technologies, including Kafka and HDFS, this book not only reinforces existing knowledge but also opens up new perspectives on problem-solving in data-intensive applications. Its depth ensures even seasoned professionals find valuable takeaways.

Avaliações e Classificações dos Clientes

4.8
5583 classificações de clientes
  • 5 Estrela
    85%
  • 4 Estrela
    10%
  • 3 Estrela
    3%
  • 2 Estrela
    1%
  • 1 Estrela
    1%

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Prós

  • In-depth exploration of data system technologies
  • Excellent explanations of complex concepts
  • Well-structured with practical real-world examples
  • Engaging writing style keeps readers interested
  • Historical context enriches understanding

Contras

  • Some topics may be too complex for beginners

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€ 77

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Recursos e benefícios

  • Learn to make scalable data systems for apps with millions of users.
  • Understand the strengths and weaknesses of various data technologies.
  • Explore principles and compromises fundamental to data systems.
  • Get insights on system architecture for data-intensive applications.
  • Emphasizes free and open-source software for hands-on learning.
  • Tailored for professionals familiar with web-based applications and networking.

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