- Häftad (Paperback)
- Antal sidor
- MORGAN KAUFMANN
- Witt, Graham
- 233 x 190 x 33 mm
- Antal komponenter
- 50:B&W 7.44 x 9.69 in or 246 x 189 mm (Crown 4vo) Perfect Bound on White w/Gloss Lam
- 1122 g
Du kanske gillar
Data &; Reality
The Creative Gene
Data Modeling Essentials749
Finns även som
- Skickas inom 10-15 vardagar.
- Gratis frakt inom Sverige över 159 kr för privatpersoner.
Data Modeling Essentials, Third Edition provides expert tutelage for data modelers, business analysts and systems designers at all levels. Beginning with the basics, this book provides a thorough grounding in theory before guiding the reader through the various stages of applied data modeling and database design. Later chapters address advanced subjects, including business rules, data warehousing, enterprise-wide modeling and data management.
Laddas ned direkt519
The third edition of this popular book retains its distinctive hallmarks of readability and usefulness, but has been given significantly expanded coverage and reorganized for greater reader comprehension. Authored by two leaders in the field, Data Modeling Essentials, Third Edition is the ideal reference for professionals and students looking for a real-world perspective.
Thorough coverage of the fundamentals and relevant theory.
Recognition and support for the creative side of the process.
Expanded coverage of applied data modeling includes new chapters on logical and physical database design.
New material describing a powerful technique for model verification.
Unique coverage of the practical and human aspects of modeling, such as working with business specialists, managing change, and resolving conflict.
Extensive online component including course notes and other teaching aids (www.mkp.com).
UML diagrams now available! Visit the companion site for more details.
Click here to view a book review by Steve Hoberman!
KundrecensionerHar du läst boken? Sätt ditt betyg »
Recensioner i media
"The perfect balance of theory and practice, giving the reader both the foundation and the tools to deliver high-quality data models."
-Karen Lopez, Principal, InfoAdvisors, Inc.
"The complete guide to data modeling for the reflective practitioner. Students like this book and so do I -- it is clear and accessible without sacrificing rigor."
-Professor Graeme Shanks, School of Business Systems, Monash University, Australia
"A unique, practical and comprehensive guide, providing an invaluable resource to anyone involved in data modeling from the novice to the expert data modeler."
-Len Silverston, author of The Data Model Resource Book, Volumes 1 and 2.
"Includes an extraordinary amount of good, useful, and well articulated information about the field."
-David Hay, President, Essential Strategies, Inc. and author of Data Model Patterns
"Data Modeling Essentials is a fresh look at an old topic...much more accesible and refreshing in its tone and attitude. Simsion's explanations are very clear and his examples easy to follow...This book is useful for both beginners and experienced data modelers who want a new innovative approach to the important task of documenting data requirements." - The Bridge --Barbara A. Carkenord
"The book is extremely well-written. It is humorous at times, full of useful anecdotes, and follows a very logical sequence...In summary, I found Data Modeling Essentials, Third Edition, very useful for data modelers at any level of experience." - DM Review
Graeme C. Simsion has over 25 years experience in information systems as a DBA, data modeling consultant, business systems designer, manager, and researcher. He is a regular presenter at industry and academic forums, and is currently a Senior Fellow with the Department of Information Systems at the University of Melbourne. Graham C. Witt is an independent consultant with over 30 years of experience in assisting enterprises to acquire relevant and effective IT solutions. His clients include major banks and other financial institutions; businesses in the insurance, utilities, transport and telecommunications sectors; and a wide variety of government agencies. A former guest lecturer on Database Systems at University of Melbourne, he is a frequent presenter at international data management conferences.
Part I: Basics
Chapter 1: What is Data Modeling?
Chapter 2: Basics of Good Structure
Chapter 3: The Entity-Relationship Approach
Chapter 4: Subtypes & Supertypes
Chapter 5: Attributes and Columns
Chapter 6: Primary Keys and Identity
Chapter 7: Extensions and Alternatives
Part II: Putting it Together
Chapter 8: Organizing the Data Modeling Task
Chapter 9: Understanding the Business Requirements
Chapter 10: Conceptual Modeling
Chapter 11: Logical Database Design
Chapter 12: Physical Database Design
Part III: Advanced Topics
Chapter 13: Advanced Normalization
Chapter 14: Modeling Business Rules
Chapter 15: Time-Dependent Data
Chapter 16: Modeling for Data Warehouses and Data Marts
Chapter 17: Enterprise Data Models and Data Management