Item #:
241555735
Designing Data-Intensive - Paperback, by Kleppmann Martin - Very Good
85% of respondents would recommend this to a friend
Item #:
241555735
ZAR 832
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Unlock the Power of Data-Driven Applications with 'Projetando Aplica es Intensivas de Dados' by Martin Kleppmann.
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What Stands Out
Comprehensive Coverage
Offers an in-depth understanding of data systems, addressing various architectures and design patterns while enhancing the reader's ability to make informed decisions in data development.
Practical Insights
Equips readers with actionable strategies for real-world data challenges, bridging theory with practice, ensuring professionals can effectively manage large-scale data operations in diverse environments.
Expert Author
Written by Martin Kleppmann, a recognized authority in data systems, providing credibility and valuable perspectives drawn from extensive industry experience, making the book an essential resource for aspiring data professionals.
Product Details
| Book Title | Designing Data-Intensive Applications: The Big Ideas Behind Relia |
| 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?
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Data Engineers
Ideal for data engineers needing to understand data systems design, architectures, and best practices for data-intensive applications.
-
Software Developers
Beneficial for software developers who want to enhance their knowledge about building scalable data-driven applications efficiently.
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System Architects
Recommended for system architects aiming to deepen their expertise in designing robust data systems and managing data flow.
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Beginners in Coding
Not suitable for beginners in coding, as it assumes a foundational understanding of software engineering and data systems.
Product Description
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Editorial Review
**** "Designing Data-Intensive Applications" by Martin Kleppmann has received a positive reception among its readers, particularly noted for its insightful content related to distributed systems. Customers appreciate the author’s ability to provide a broad overview of essential concepts without delving too deeply into technical specifics, making it a practical guide for senior engineers involved in designing scalable systems. Readers find the explanations clear and accessible, which instills confidence in their understanding of complex topics. Many customers express satisfaction with the book's value for money, recognizing it as a worthwhile investment compared to other sellers. Despite some minor issues related to the condition of the book upon receipt, such as damage from external contact, the overall Consensus is that this book is an invaluable resource, especially for those involved in data application and engineering. Overall, "Designing Data-Intensive Applications" is regarded as a must-read for professionals in the field, aligning well with the needs of those looking to deepen their knowledge of modern data-driven technologies. **
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Pros
- Comprehensive overview of essential concepts in distributed systems
- Clear and accessible explanations
- Strong value for money compared to other retailers
- Recommended for senior engineers and data applications
Cons
- Some customers reported minor damage to the book's condition
Product Price History
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Features & Benefits
- Dive into the transformative world of data architectures.
- Learn foundational concepts for reliable and scalable systems.
- Gain actionable insights with practical applications and design patterns.
- Enhanced learning with clear diagrams and real-world examples.
- Valuable resource for data engineers, software developers, and IT professionals.
- Prepare to tackle complex data processing for high-demand sectors.
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