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113230473
Practical Data Modeling: A Step-by-Step Guide Across Industries. (Data Modeling Books)
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Hvad der skiller sig ud
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.
Produktdetaljer
- Visual Overview: https://youtu.be/zToGmzSj0M8Podcast: https://www.dropbox.com/s/xtl9t46j7o6pswf/LDM%20Workbook.wav?dl=0This workbook, Practical Data Modeling: A Step-by-Step Guide Across Industries, builds on the foundation laid in the author’s previous book, Mastering Data Modeling: From Concepts to Practical Implementation, expanding its principles with a practical, industry-specific focus. Designed as a comprehensive guide for beginner IT professionals, this workbook provides hands-on exercises and case studies across key industries—healthcare, finance, IoT, media, and more—making it an indispensable resource for those looking to deepen their expertise in logical data modeling.Each chapter introduces unique data modeling requirements and regulatory considerations, tailored to the nuances of each industry, covering topics like complex relationships, cardinality, and advanced modeling techniques. Structured exercises enable readers to practice real-world scenarios, from constructing conceptual models to defining key relationships and entity attributes. Readers are guided through key data modeling constructs, including parties, products, locations, and transactions, which are presented consistently to promote an intuitive understanding of data structures. The workbook also includes detailed breakdowns of identifying and non-identifying relationships, normalization strategies, and the use of surrogate and composite keys to ensure data integrity.With step-by-step diagrams and industry case studies, Logical Modeling Workbook provides readers with the skills needed to confidently design and refine logical data models that meet today’s business demands across sectors. Whether you're building foundational skills or extending prior knowledge, this workbook is a vital resource for taking your data modeling skills from concept to applied practice in any industry.
| 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 |
Hvem bør købe?
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Data Analysts
Provides practical techniques for data analysis, helping analysts develop effective data models tailored to their industry.
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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.
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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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- 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
Ulemper
- No extensive case studies included
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