
Data Modeling Essentials
- 4th Edition - February 15, 2015
- Imprint: Morgan Kaufmann
- Authors: Graeme Simsion, Graham Witt, Matthew West
- Language: English
- eBook ISBN:9 7 8 - 0 - 1 2 - 3 9 6 5 3 9 - 4
If you are seeking expert tutelage for data modelling tools and techniques, you need look no further. Regardless of your level of expertise, as a data analyst, data modeler, da… Read more

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Request a sales quoteIf you are seeking expert tutelage for data modelling tools and techniques, you need look no further. Regardless of your level of expertise, as a data analyst, data modeler, data architect, database designer, database application developer, database administrator, business analysts, or systems designers, this book will serve as an invaluable resource in your effort to build reliable and effective data models. Beginning with the basics, this book provides a thorough grounding in theory before guiding the reader through the various stages of applied data modelling and database design. Later chapters delve into advanced topics and enterprise data modelling, covering business rules, data warehousing, data migration, and more. This new and expanded edition updates existing content where current practice dictates and adds new content on Modelling XML, Master and Reference Data, Mapping Between Models, Data Migration, and other areas of intense interest to the data modelling community.
NEW TO THIS EDITION
• Enhanced contextual treatment of data modeling by providing more examples of
data models and their quality in examining where the benefits derive.
• NEW chapter on Master and Reference Data Management
• NEW chapter of Data Migration
• NEW chapter on modeling XML messages
• NEW chapter on Mapping Between Data Models
- The perfect balance of theory and practice giving you both the foundation and the tools to develop high quality data models.
- Perfect reference for the reflective practitioner providing clear and accessible guidance to data modeling techniques.
- An invaluable resource containing vast amounts of useful and well illustrated information to those involved in data modeling, from the novice to the expert.
Data management professionals with job titles/functions that include data analyst, data modeler, data architect, database designer, database application developer, database administrator, etc. Complete global reach. Complete global reach.
CH 1: What is data modeling
CH 2: Basics of Sound Structure
CH 3: Entity Relationship Approach
CH 4: Subtypes and Supertypes (significant revision)
CH 5: Attributes and Column
CH 6: Primary Keys and Identity(expanded)
CH 7: Extensions and Alternatives
CH 8: Organizing the Data Modeling task
CH 9: Business Requirements (expanded)
CH 10: Conceptual Data Modeling (expanded)
CH 11: Logical Database Design
CH 12: Physical Database Design
CH 13: Advanced Normalization
CH 14: Time Dependent Data (significant rewrite)
CH 15: Business Rules
CH 16: Modeling for Data Warehouses and Data Marts (expanded)
CH 17: Modeling XML Messages (NEW)
CH 18: Enterprise Data Models and Data Management (expanded)
CH 19: Data Models for Reference Data (NEW)
CH 20: Mapping Between Data Models (NEW)
CH 21: Data Migration (NEW)
- Edition: 4
- Published: February 15, 2015
- Imprint: Morgan Kaufmann
- No. of pages: 600
- Language: English
- eBook ISBN: 9780123965394
GS
Graeme Simsion
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Graham Witt
MW