Résumé
Written by and for database designers, Data Modeling with ERwin provides a solutions-oriented approach to data modeling.
- Modeling core entities, which represent the
business-critical objects of an enterprise
- Selecting ERwin tools according to the chosen
methodology and whether the model is in logical or physical
mode
- Creating, modifying, and deleting subject areas in the diagram with the Subject
- Area Editor
- Selecting and saving a set of diagram display options
and display levels for the subject area with the Stored
Display Editor
- Creating user-defined properties for model objects with
ERwin's UDP Editor
- Defining the components of the physical model and
setting the physical modeling environment in ERwin
- Using ERwin's logical only and physical only
properties
- De-normalizing the physical model to meet usage
requirements and improve performance
- Creating, modifying, and deleting indexes with ERwin's
Index Editor
- Reviewing the physical data model to ensure that it
fulfills information requirements and business rules, and
meets the usage requirements and the platform
specifications of your enterprise
- Generating the physical model objects in the target server
Table of contents
- Introduction
- Part I: Modeling Concepts
- 1: Understanding Data Modeling Concepts
- 2: Understanding Entities
- 3: Understanding Attributes
- 4: Understanding Relationships
- Part II: Introducing ERwin
- 5: Getting Started with ERwin
- 6: Introducing ERwin's Menus and Tools
- 7: Reverse Engineering and Report Generation in
ERwin
- 8: Discovery: Gathering Information Requirements,
Metadata, and Business Rules
- Part III: Creating the Logical Model
- 9: Developing the Logical Data Model
- 10: Building Logical Relationships
- 11: Organizing and Enhancing the Logical Data
Model
- 12: Reviewing the Logical Data Model
- 13: Delivering the Logical Data Model
- 14: Advanced Features for the Logical Model
- Part IV: Creating the Physical Model
- 15: Developing the Physical Model
- 16: Building the Physical Model in ERwin
- 17: Building Physical Relationships
- 18: Reviewing the Physical Data Model
- 19: Delivering the Physical Data Model
- 20: Advanced Features for the Physical Model
- References
- Index
L'auteur - M. Carla Deangelis
, vice president and data architect for Bank of America,
has more than 15 years' experience in application
development and database design. She performs logical data
modeling and database design and is responsible for Bank of
America's enterprise-wide data model. A longtime ERwin
developer and member of the ERwin Beta Team, Carla designed
the data structures for Bank of America's mission-critical
database systems using ERwin and has used the product to
model and design data systems for companies such as 3M,
Lockheed Martin, and Xerox.
Caractéristiques techniques
PAPIER | |
Éditeur(s) | Sams |
Auteur(s) | M. Carla Deangelis |
Parution | 22/05/2000 |
Nb. de pages | 410 |
EAN13 | 9780672318689 |
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