Data Modeling Essentials
- 4th Edition - February 15, 2015
- Latest edition
- 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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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, 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
- Latest edition
- Published: February 15, 2015
- Language: English
GS
Graeme Simsion
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.
Affiliations and expertise
Senior Fellow, University of Melbourne, AustraliaGW
Graham Witt
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.
Affiliations and expertise
Independent Consultant, Sydney, AustraliaMW
Matthew West
Matthew West spent over 20 years as a leading data modeler for Shell where he was a key technical contributor to data modeling and data management standards and their application. Matthew was responsible for Shell's Downstream Data Model. He currently serves as the Director of Information Junction, a data architecture and analysis consultancy in the UK. He is also a key contributor to ISO 15926 (Lifecycle integration of process data) and ISO 8000 (Data and Information Quality). Matthew is a Visiting Professor at the University of Leeds
Affiliations and expertise
Director of Information Junction, UK