Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems 2nd Edition
التنقل بين المقايضات حول الاتساق وقابلية التوسع والتسامح مع الأخطاء والتعقيد.
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems 2nd Edition
منتج #: 150163906

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems 2nd Edition

منتج #: 150163906

AED 276

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    مايفيد

    تغطية شاملة
    This edition delves deeper into key concepts of data systems, enhancing understanding of complex topics like consistency and reliability to ensure robust application design.
    رؤى العالم الحقيقي
    Offers practical examples and case studies that illustrate how to tackle common challenges, making it easier for developers to apply concepts effectively in real scenarios.
    محتوى محدث
    Incorporates the latest advancements in technology and methodologies, ensuring readers are equipped with cutting-edge knowledge necessary for building scalable and maintainable applications.

    تفاصيل المنتج

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    Suitable For
    • مهندسي البرمجيات

      Engineers looking to deepen their understanding of data systems and improve application reliability and maintainability will benefit greatly.

    • مسؤولي قواعد البيانات

      DBAs seeking to enhance their knowledge of data modeling, integration, and management strategies will find valuable insights here.

    • مهندسي النظام

      Architects involved in designing scalable and resilient systems can leverage the principles discussed to improve architecture strategies.

    Not Suitable For
    • المبتدئين

      Newcomers to data systems may find the content too advanced and complex, lacking foundational explanations and context.

    • القراء غير الرسميين

      Individuals seeking light reading or general tech updates may not find the technical depth engaging or relevant.

    • مدراء غير تقنيين

      Managers without a technical background may struggle to grasp many concepts, making the book less applicable for their needs.

    وصف المنتج

    Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems 2nd Edition

    هل لديك أي استفسار؟ تحدث معنا

    أسئلة وأجوبة العملاء

    • سؤال: ما هو "تصميم التطبيقات كثيفة البيانات"؟

      إجابه: 'Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems' delves into the architectural choices and design principles that underpin modern data-driven systems. It focuses on concepts such as data storage, indexing, and system reliability while exploring how different technologies, like databases and data processing frameworks, interact and contribute to creating robust applications. This book is beneficial for software engineers, system architects, and anyone interested in mastering effective data architecture for complex applications.
    • سؤال: من هو مؤلف هذا الكتاب، وما هي أوراق اعتمادهم؟

      إجابه: The book is authored by Martin Kleppmann, a recognized authority in data systems and engineering. Martin has a background in distributed systems, data storage, and concurrent programming, making him well-equipped to address the challenges of designing scalable applications. His experience includes research at various prestigious institutions and contributing to the development of numerous impactful technologies in the field, ensuring readers receive insights grounded in real-world applications and cutting-edge research.
    • سؤال: ما الذي يجعل الطبعة الثانية من هذا الكتاب مختلفة عن الطبعة الأولى؟

      إجابه: The 2nd edition of 'Designing Data-Intensive Applications' includes updates reflecting the rapidly evolving landscape of data technologies. It incorporates new chapters on topics such as machine learning data pipelines, event streaming systems, and modern database offerings. This edition also revises existing content to enhance clarity and provide more practical examples, addressing contemporary issues in software development, thereby keeping readers informed about the latest best practices in data system design.
    • سؤال: Is this book suitable for beginners or only experienced professionals?

      إجابه: While 'Designing Data-Intensive Applications' offers deep insights suited for experienced professionals, it is also accessible to beginners. The book starts with foundational concepts and gradually advances to more complex topics, making it a valuable resource for anyone looking to improve their understanding of data systems. Newcomers can benefit from clear explanations, while seasoned developers can glean advanced techniques and frameworks essential for optimizing their applications.
    • سؤال: How does this book address scalability in data systems?

      إجابه: 'Designing Data-Intensive Applications' explores scalability through various design patterns and architectural styles, such as microservices and distributed systems. It emphasizes the importance of horizontal scaling and data partitioning, which are crucial for handling increased loads. Real-world use cases illustrate how to implement these strategies effectively, ensuring that systems can grow efficiently without sacrificing performance or reliability, a key concern for businesses anticipating future growth.
    • سؤال: ما هي بعض الموضوعات الرئيسية التي يغطيها الكتاب?

      إجابه: The book covers an array of key topics such as data models, storage systems, distributed databases, batch and stream processing, and system reliability. Each topic is presented comprehensively, with a focus on trade-offs and decision-making to help developers understand the implications of their choices. By examining different approaches to data architecture, readers learn to identify scenarios ideal for specific technologies and optimizations, guiding them toward more effective solutions for their application needs.
    • سؤال: هل يمكن استخدام هذا الكتاب ككتاب مدرسي للدورات الأكاديمية؟

      إجابه: Yes, 'Designing Data-Intensive Applications' is suitable as a textbook for academic courses focused on computer science and software engineering. Its structured approach, clear explanations, and practical examples facilitate learning for both students and instructors. Many educational institutions incorporate it into their curriculum for deeper insights into data-intensive application design, making it an essential resource for fostering understanding and stimulating classroom discussions.
    • سؤال: ما هي التطبيقات العملية التي يمكنني أن أتعلمها من هذا الكتاب؟

      إجابه: Readers can learn to design reliable and scalable data systems applicable in various domains, including e-commerce platforms, social media applications, and financial services. The insights gained from the book help in identifying the right database technologies, implementing efficient data processing pipelines, and ensuring fault tolerance. Practical use cases and real-world examples enhance learning, allowing readers to apply the techniques discussed to solve problems in their own projects or workplaces effectively.
    • سؤال: How does this book approach system reliability?

      إجابه: 'Designing Data-Intensive Applications' addresses system reliability by detailing concepts like redundancy, failover mechanisms, and data replication. It underscores the significance of designing systems that gracefully handle failures, ensuring minimal disruption to users. By leveraging these principles, organizations can build robust architectures capable of maintaining continuous operations, even during unexpected issues or data loss, ultimately providing a better user experience and fortifying business continuity.
    • سؤال: Where can I buy 'Designing Data-Intensive Applications' in UAE?

      إجابه: You can purchase 'Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems 2nd Edition' from Ubuy in UAE. Ubuy is an established e-commerce platform that offers a wide selection of books, including technical literature, making it a convenient option for finding this title and having it delivered directly to you.

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