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Item #:
183776641
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
Item #:
183776641
ETB 11344
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In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data.
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What Stands Out
Comprehensive Overview
Offers an in-depth exploration of data system design principles, ensuring readers grasp essential concepts for creating robust, scalable applications in a structured manner.
Practical Insights
Provides practical examples and case studies, helping developers apply the theoretical concepts to real-world scenarios, enhancing their ability to tackle complex data challenges effectively.
Authoritative Expertise
Written by leading experts in the field, this book presents proven methodologies and best practices for building maintainable systems, empowering readers with the knowledge to innovate confidently.
Product Details
- MP3 CD Format Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords? In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. Peer under the hood of the systems you already use, and learn how to use and operate them more effectively Make informed decisions by identifying the strengths and weaknesses of different tools Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity Understand the distributed systems research upon which modern databases are built Peek behind the scenes of major online services, and learn from their architectures
| Publisher | Blackstone Publishing, Inc. |
| Publication date | January 29, 2021 |
| Edition | Unabridged |
| Language | English |
| Print length | 1 pages |
| ISBN-13 | 979-8228722606 |
| Item Weight | 1 pounds (450 grams) |
| Dimensions | 6.75 x 6.88 x 1 inches (17.1 x 17.5 x 2.5 cm) |
Who Should Buy?
-
Software Engineers
Engineers seeking to understand data management principles will find valuable insights for designing scalable systems.
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System Architects
Architects looking to build reliable applications can leverage this book for best practices in data architecture.
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Data Analysts
Analysts wanting to enhance their understanding of data processing frameworks and reliability will benefit from this book.
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Casual Readers
Individuals not familiar with technical subjects may struggle to grasp the in-depth content presented in this book.
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Business Executives
Executives without a technical background may not find the detailed engineering discussions relevant to their roles.
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Beginners in Programming
Novices to programming might find the advanced topics in this book overwhelming without foundational knowledge.
Product Description
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Customer Questions & Answers
-
Question:
What topics are covered in Designing Data-Intensive Applications?
Answer: This book covers a diverse range of topics relevant to building data-intensive applications, including storage systems, data models, distributed systems, consistency models, and scalability techniques. The author delves into the principles of reliability and maintainability that guide architecture choices. Understanding these concepts is crucial for software developers and system architects to create applications that can handle vast amounts of data with efficiency and resilience. -
Question:
Who is the author of Designing Data-Intensive Applications?
Answer: Designed by Martin Kleppmann, a well-known figure in the field of data systems, the book draws from his extensive experience in academia and industry. Kleppmann has contributed to the development of various data systems and his insights are grounded in real-world applications. Readers benefit from Kleppmann's deep understanding of data architecture, making it an invaluable resource for both beginners and experienced professionals looking to enhance their knowledge. -
Question:
Is this book suitable for beginners in data engineering?
Answer: Yes, Designing Data-Intensive Applications is suitable for both beginners and seasoned professionals. The book introduces fundamental concepts in data systems in a clear, approachable manner while also diving into advanced topics. This dual approach makes it accessible for new learners, allowing them to grasp complex ideas incrementally. Practical use cases and examples help demystify the processes involved in real-world data management. -
Question:
What programming languages or technologies does this book discuss?
Answer: The book discusses various programming languages and technologies that are commonly used in data-intensive applications, such as SQL databases, NoSQL stores, stream processing systems, and message brokers. Kleppmann illustrates how these technologies fit into different design choices for scalability, performance, and flexibility. Whether you are implementing a relational database or working on a distributed system, this book provides relevant context for selecting the right tools. -
Question:
How does this book help in understanding system scalability?
Answer: Designing Data-Intensive Applications offers insights into scalability models, including partitioning, replication, and consistency strategies. By explaining both theoretical and practical aspects of scaling systems, it equips readers with the knowledge to design robust applications that can efficiently manage increasing load. For instance, understanding these concepts can assist software teams in planning system architecture to avoid bottlenecks as user demand grows. -
Question:
Are there practical examples included in the book?
Answer: Yes, the book includes a variety of practical examples to illustrate key concepts and principles. These examples not only clarify the theoretical underpinnings but also demonstrate how they can be applied in real-world scenarios. By examining case studies, readers can better understand how to implement data systems that are scalable, reliable, and maintainable in their own projects. -
Question:
What makes this book a must-read for system architects?
Answer: This book is a must-read for system architects because it presents a holistic view of the data systems landscape, emphasizing trade-offs and design choices needed for building resilient applications. The combination of practical guidance and theoretical foundations empowers architects to make informed decisions while designing complex systems. With detailed discussions on patterns and pitfalls, it assists in avoiding common mistakes that can lead to system failures. -
Question:
How can I apply the lessons from this book to real-world projects?
Answer: The lessons from Designing Data-Intensive Applications can be applied in various stages of project development, from initial architecture design to ongoing maintenance. Readers can use the concepts to build scalable databases, optimize data processing workflows, and improve application reliability. For example, if you are developing a microservices architecture, the book's principles can guide your decisions on service communication and data storage strategies. -
Question:
Does the book focus only on databases?
Answer: No, while the book covers database technologies, it also encompasses a broad spectrum of topics related to data management, including data serialization, batch vs. stream processing, and system design principles. This comprehensive approach ensures that readers gain a complete understanding of the complexities involved in managing data ecosystems, making it relevant beyond just database management. -
Question:
Where can I buy Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems Unabridged Edition in Ethiopia?
Answer: You can buy Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems Unabridged Edition on Ubuy. Ubuy offers a reliable shopping experience and a diverse selection of books, making it a convenient avenue for accessing this invaluable resource for data professionals in Ethiopia.
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Features & Benefits
- Comprehensive coverage of data-intensive application design.
- Explores the strengths and weaknesses of various data processing tools.
- Helps make informed decisions on scalability, reliability, and efficiency.
- Offers insights into the architecture of major online services.
- Teaches how to apply fundamental principles in modern applications.
- Ideal for software engineers and architects looking to enhance their skills.
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