Item #:
223323777
Designing Data-Intensive Applications : The Big Ideas Behind Reliable USA STOCK
Item #:
223323777
UGX 178665
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'Projetando Aplica es Intensivas de Dados' equips you with the knowledge to design systems that don't just serve data but thrive on it.
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What Stands Out
Reliability
Offers structured methods to ensure data integrity and availability, crucial for high-stakes applications in dynamic environments, setting a strong foundation for dependable systems.
Scalability
Equips developers with insights on scalable architectures, allowing applications to grow efficiently with user demand while maintaining performance and reliability across various infrastructures.
In-depth Knowledge
Provides a comprehensive exploration of data management concepts, empowering readers to make informed decisions and adopt best practices for building robust data-intensive applications.
Product Details
| ISBN | 9781449373320 |
| Subject Area | Computers |
| Publication Name | Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable, and Maintainable Systems |
| Publisher | O'reilly Media, Incorporated |
| Item Length | 9.2 in (23.4 cm) |
| Subject | Data Modeling & Design, Desktop Applications / Databases |
| Publication Year | 2017 |
| Type | Textbook |
| Format | Trade Paperback |
| Language | English |
| Item Height | 1.5 in (3.8 cm) |
| Author | Martin Kleppmann |
| Item Weight | 36.3 Oz (1029.11 grams) |
| Item Width | 6.9 in (17.5 cm) |
| Number of Pages | 614 Pages |
Who Should Buy?
-
Data Engineers
Ideal for data engineers seeking to design robust data pipelines and understand data system fundamentals.
-
Software Architects
Beneficial for software architects who need to make informed decisions about system architectures involving large data.
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Technical Students
Great for technical students learning about data systems, providing comprehensive insights and practical understanding of concepts.
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Casual Readers
Not suitable for casual readers looking for light content, as it delves deep into technicalities and complexities.
Product Description
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Customer Questions & Answers
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Question:
Who is the author of 'Projetando Aplica es Intensivas de Dados'?
Answer: The book is authored by Martin Kleppmann. -
Question:
What topics does the book cover?
Answer: It covers the foundational concepts of building reliable and scalable data systems. -
Question:
Is this book suitable for beginners?
Answer: Yes, it provides valuable insights for both emerging data scientists and seasoned engineers.
Editorial Review
** Designing Data-Intensive Applications** "Designing Data-Intensive Applications" has garnered significant acclaim from readers who appreciate its insightful treatment of essential concepts in the realm of distributed systems. Many users have noted that, while the book may not delve deeply into every topic, it effectively raises awareness about key elements necessary for designing robust scalable systems. This quality makes it particularly valuable for senior engineers actively engaged in the field. Readers have expressed satisfaction with the book's content, labeling it a "must-read" for professionals working on data applications. It is praised for its analytical approach and relevance, especially in an era where understanding data-intensive frameworks is crucial. Furthermore, despite initial skepticism regarding its lower price, customers have been pleasantly surprised by the quality and condition of the book, indicating they received a brand-new copy that exceeded their expectations. However, there have been mentions of some dissatisfaction regarding the condition in which the book was received from specific merchants, particularly concerning minor damage to the cover and pages. Nonetheless, this did not overshadow the overall appreciation for the book's informative content and its significance in the field. **
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Pros
- Provides valuable insights into designing distributed systems.
- Suitable for senior engineers and professionals in data applications.
- Raises critical awareness of essential concepts without overwhelming depth.
- Found to be a good value for money compared to other sellers.
Cons
- Some reports of less-than-ideal book conditions from certain merchants.
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UGX 178665
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Features & Benefits
- Unlock the secrets to building reliable, scalable, and maintainable data systems.
- Engages readers with clear diagrams and real-world examples.
- Ideal for data engineers, software developers, and IT professionals.
- Learn to navigate trade-offs in distributed systems for high-performance applications.
- Perfect for both home study and on-the-go learning.
- Gain insights from the industry's leading experts in data engineering.
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