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Item #:
113230473
Practical Data Modeling: A Step-by-Step Guide Across Industries. (Data Modeling Books)
87% of respondents would recommend this to a friend
Item #:
113230473
NIO 3082
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What Stands Out
Comprehensive Approach
Offers a thorough, step-by-step methodology for data modeling applicable across various industries, ensuring that readers can effectively adapt techniques to diverse contexts.
Industry Versatility
Covers multiple industries, making it suitable for professionals in various fields, allowing readers to leverage best practices tailored to their specific sector requirements.
User-Friendly Format
Designed to be accessible for all skill levels, it simplifies complex concepts, making advanced data modeling techniques comprehensible and easier to implement for beginners and seasoned professionals alike.
Product Details
| Publisher | Independently published |
| Publication date | November 12, 2024 |
| Language | English |
| Print length | 216 pages |
| ISBN-13 | 979-8346478621 |
| Item Weight | 1.4 pounds (640 grams) |
| Dimensions | 8.5 x 0.54 x 11 inches (21.6 x 1.4 x 27.9 cm) |
| Book 1 of 6 | Data Modeling Books |
Who Should Buy?
-
Data Analysts
Provides practical techniques for data analysis, helping analysts develop effective data models tailored to their industry.
-
Students
Ideal for students learning data modeling, offering structured guidance and real-world applications for better comprehension.
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Project Managers
Useful for project managers needing to understand data modeling concepts, ensuring project requirements are met effectively.
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Advanced Professionals
May lacks depth for experienced data modelers seeking advanced methodologies or innovative strategies beyond basic modeling.
Product Description
Practical Data Modeling: A Step-by-Step Guide Across Industries. (Data Modeling Books)
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Relational Databases Editorial Review
Practical Data Modeling: A Step-by-Step Guide Across Industries is an insightful resource for anyone eager to master data modeling techniques. This 216-page book not only serves as a thorough introduction to the subject but also provides practical applications across various industries, making it versatile for different readers. Independently published, it stands out for its detailed format, which helps both beginners and seasoned professionals in refining their data modeling skills. The book is printed in English and its dimensions make it convenient for both reading and referencing. Readers will benefit from its structured approach, making complex concepts easier to understand.
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Pros
- Comprehensive guide on data modeling techniques
- Applicable across multiple industries
- Clear step-by-step instructions provided
- Ideal for both beginners and professionals
- Well-structured format for effective learning
Cons
- No extensive case studies included
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