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Data Modeling Essentials, Third Edition
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Data Modeling Essentials, Third Edition is the ideal reference for data modelers and database designers, as well as undergraduate and graduate-level students looking for a real-world perspective.
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What Stands Out
Product Details
- Covers the basics of data modeling with a focus on developing techniques
- Addresses the realities of developing systems in real-world situations
- Includes significantly expanded coverage and reorganized for greater reader comprehension
- Provides thorough grounding in theory before guiding the reader through various stages of applied data modeling and database design
- Addresses advanced subjects such as business rules, data warehousing, enterprise-wide modeling, and data management
- Ideal reference for data modelers, data architects, database designers, DBAs, and systems analysts, as well as undergraduate and graduate-level students
| Publisher | Morgan Kaufmann |
| Publication date | November 18, 2004 |
| Edition | 3rd |
| Language | English |
| Print length | 560 pages |
| ISBN-10 | 0126445516 |
| ISBN-13 | 978-0126445510 |
| Item Weight | 2.55 pounds (1.16 kg) |
| Dimensions | 7.5 x 1.27 x 9.25 inches (19.1 x 3.2 x 23.5 cm) |
| Part of series | The Morgan Kaufmann Series in Data Management Systems |
Who Should Buy?
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Aspiring Data Analysts
Perfect for beginners wanting to understand data structures and relationships essential for analysis and decision-making.
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Database Administrators
Useful for DBAs seeking to enhance their skills in data modeling and improve database performance and design.
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Business Intelligence Professionals
Ideal for BI experts needing a solid foundation in data modeling concepts to drive data-driven strategies.
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Advanced Data Scientists
Not suitable for experienced professionals who already possess comprehensive knowledge of complex data modeling techniques.
Product Description
Data Modeling Essentials, Third Edition
About This Item
Product Title: Data Modeling Essentials, Third Edition 3rd Edition The Data Modeling Essentials, Third Edition is the ultimate guide for data modelers, business analysts, and systems designers of all levels. With a perfect balance of theory and practice, this book equips you with the knowledge and tools to deliver high-quality data models. What sets this book apart is its recognition and support for the creative side of data modeling. The authors, recognized leaders in the field, provide a fresh and innovative approach to data modeling, making it accessible and refreshing without sacrificing rigor.
This makes the book useful for both beginners and experienced data modelers who are looking for a new perspective on documenting data requirements. This substantial revised and expanded edition covers all the fundamentals, relevant theory, and best practices in data modeling. It begins with the basics, giving you a thorough grounding in theory before guiding you through the various stages of applied data modeling and database design. As you progress, the book addresses advanced subjects such as business rules, data warehousing, enterprise-wide modeling, and data management. The authors go beyond technical aspects by also addressing the practical and human aspects of data modeling.
You'll learn how to effectively work with business specialists, manage change, and resolve conflicts - essential skills for success in this field. The book also includes a powerful technique for model verification, ensuring the accuracy and reliability of your data models. In addition, the book features an extensive online component, including course notes and other teaching materials, providing further support and resources for your learning journey. Whether you're a novice or an expert data modeler, the Data Modeling Essentials, Third Edition is an invaluable resource. Get your hands on this comprehensive guide and take your data modeling skills to the next level.
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Storage & Retrieval Editorial Review
The "Data Modeling Essentials, Third Edition" book provides insightful advice, practical tips, and theoretical foundations for data modelling. This book is an excellent guide for beginners and professionals to learn how to compare different solutions or models. The authors demonstrate how poor data modelling could lead to numerous successful hacks and patchwork code. It is a resourceful and informative book that teaches everything you need to know about data modeling. The book has received mixed feedback from its readers, some people think that the book is not worth its cost, while others highly recommend it.
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Pros
- Insightful advice and practical tips
- Theoretical foundation for data modelling
- An excellent guide for beginners and professionals
- Teaches how to compare different solutions or models
- Demonstrates the risks of poor data modelling
Cons
- Some people think that the book is not worth its cost
Product Price History
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Features & Benefits
- Covers the basics of data modeling while focusing on developing techniques
- Addresses the realities of developing systems in real-world situations
- Includes expanded coverage on advanced subjects, data warehousing and enterprise-wide modeling
- Ideal reference for data modelers, data architects, database designers, and DBAs
- Suitable for undergraduate and graduate-level students
- Provides an excellent resource for additional lectures and exercises
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