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229802684
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
Item #:
229802684
LKR 32848
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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
Provides an in-depth examination of modern data systems, covering crucial concepts that empower developers to understand and implement reliable, scalable, and maintainable applications effectively.
Real-World Examples
Incorporates practical case studies and examples that illustrate theory in action, helping readers grasp complex ideas through concrete application scenarios in the data-intensive landscape.
Expert Insights
Authored by industry leaders, the book distills years of expertise into accessible knowledge, offering valuable insights and best practices that equip readers to tackle real-world data challenges.
Product Details
| 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 Weight | 3 Pound (1.36 kg) |
Who Should Buy?
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Software Engineers
Engineers looking to build robust data systems will benefit from the comprehensive insights into design and architecture.
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System Architects
Architects can gain valuable knowledge on creating scalable and maintainable architectures for complex data applications.
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Data Scientists
Scientists working with large data volumes will find strategies for reliable data management and application integration beneficial.
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Beginners
Novices may struggle with the advanced concepts and depth of technical detail without foundational knowledge.
Product Description
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
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Customer Questions & Answers
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Question:
Who is the author of this book?
Answer: The author is Martin Kleppmann. -
Question:
What key topics are covered in the book?
Answer: The book covers scalability, consistency, reliability, efficiency, and maintainability. -
Question:
Who would benefit from reading this book?
Answer: Software engineers and architects looking to deepen their understanding of data-intensive applications.
Data Modeling & Design Editorial Review
**** "Designing Data-Intensive Applications" has received overwhelming praise from readers who appreciate its ability to demystify the complexities of distributed systems and data management. Reviewers, regardless of their prior experience level, report that the book effectively reinforces existing knowledge while also providing fresh insights into key concepts. Its engaging Prose and broad coverage make even the more technical topics approachable, enriching the reader's understanding of how various technologies function in real-world scenarios. The book brilliantly juxtaposes high-level overviews with detailed explorations, striking a delicate balance that prevents overwhelming the reader. From the foundational aspects of how databases operate to the intricate details of Consensus algorithms, it equips readers with the analytical tools needed to evaluate and choose the right technology for specific applications. Moreover, it enriches the discourse with historical context, illustrating the evolution of technologies and how past solutions inform current practices. Readers particularly commend the author's focus on practical implications, ensuring that theories are tied back to real-life applications. The clarity with which it covers complex topics, such as Consistency models and transaction management, is a highlight for many. Those in the field are encouraged to rethink their reliance on popular tools and explore the underlying principles that drive technology decisions. While some find it lacking in highly technical algorithm specifications for building systems from scratch, it remains a key reference for those interested in enhancing their understanding of data systems holistically. In summary, "Designing Data-Intensive Applications" stands out as a vital resource for practitioners in the field, offering both depth and breadth in a coherent narrative that is both informative and engaging. **
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Pros
- Engaging writing style that captures reader interest
- Clear explanations of complex concepts related to distributed systems and data management
- Balances high-level overviews with in-depth discussions on technical topics
- Provides historical context to enhance understanding of current technologies
- Emphasizes practical implications for real-world applications
- Excellent for reinforcing knowledge and offering fresh insights
Cons
- May not cater to those seeking deep algorithmic details for building systems from scratch
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LKR 32848
This product is not Fulfilled by Ubuy and can take minimum 10 days in delivery. We might cancel the product from the order and refund you if any issue arise with the delivery of this product.
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Features & Benefits
- Learn to navigate the complexities of data-intensive system design.
- Examine the pros and cons of various processing and storage technologies.
- Gain insights into scalability, consistency, reliability, and maintainability.
- Understand how to apply fundamental principles to modern applications.
- Stay updated with the ever-evolving landscape of software and tools.
- Ideal for software engineers and architects looking to enhance their skills.
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