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46199159
Data Engineering: A Novel Approach to Data Design
80% of respondents would recommend this to a friend
Item #:
46199159
ZAR 328
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What Stands Out
Innovative Design Methodology
This book introduces a groundbreaking approach to data design, offering fresh perspectives that challenge traditional methods and empower data engineers to optimize their workflows effectively.
Comprehensive Coverage
With detailed explorations of modern data practices, this first edition ensures readers grasp complex concepts, making it an invaluable resource for both novice and experienced data engineers.
Practical Applications
Featuring real-world case studies, this text provides actionable insights and strategies, enabling data professionals to implement best practices that enhance data quality and project success.
Product Details
| Publisher | Technics Publications, LLC |
| Publication date | September 22, 2013 |
| Edition | First Edition |
| Language | English |
| Print length | 116 pages |
| ISBN-10 | 1935504606 |
| ISBN-13 | 978-1935504603 |
| Item Weight | 10.4 ounces (294.84 grams) |
| Dimensions | 8 x 0.27 x 10 inches (20.3 x 0.7 x 25.4 cm) |
Who Should Buy?
-
Aspiring Data Engineers
Perfect for beginners looking to understand data engineering principles and innovative design methodologies in data management.
-
Data Professionals
Ideal for data analysts and scientists wishing to expand their knowledge on effective data architecture and design strategies.
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Academic Institutions
Useful resource for educators to teach students about the evolving landscape of data engineering and practical applications.
-
Experienced Engineers
Advanced professionals may find the content too basic and not aligned with their existing knowledge and expertise.
Product Description
Data Engineering: A Novel Approach to Data Design
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Systems Analysis & Design Editorial Review
The "Data Engineering: A Novel Approach to Data Design" is a book worth reading for a beginner in data modelling. It proposes a data modelling approach that has been in practice for decades to design data models. However, the book does not elaborate on how data contributes to value. It focuses on data modelling rather than data engineering and does not provide adequate techniques for obtaining various viewpoints when designing a data model. It also ignores human factors that ultimately govern a data model design, such as values, biases, power, and politics. However, it presents a novel way of covering data modelling and process modelling that makes these subjects more easily understood and enjoyable. The text offers a mini-MBA education through the use of the example of a business that started from scratch and grew in scale as the book progressed.
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Pros
- Easy and quick read
- Presents a novel way of covering data modelling and process modelling
- Delivers information in an enjoyable way
- Offers a mini-MBA education through the example of a business that started from scratch
Cons
- Does not elaborate on how data contributes to value
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