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Logical Data Modeling 1st edition by Alan Chmura, Mark Heumann ISBN 0387229620 9780387229621

Name: Logical Data Modeling 1st edition by Alan Chmura, Mark Heumann ISBN 0387229620 9780387229621
SKU: EB-14146
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Original price was: $50.00.Current price is: $35.00.

Authors:Alan Chmura , Author sort:Chmura, Alan , Languages:Languages:eng , Published:Published:Oct 2006

SKU: EB-14146 Category: eBook PDF Tags: Alan Chmura, Data, Logical, Mark Heumann, Modeling 1st

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Logical Data Modeling 1st edition by Alan Chmura, J. Mark Heumann – Ebook PDF Instant Download/Delivery. 0387229620, 978-0387229621
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ISBN 10: 0387229620
ISBN 13: 978-0387229621
Author: Alan Chmura, J. Mark Heumann

Logical Data Modeling offers business managers, analysts, and students a clear, basic systematic guide to defining business information structures in relational database terms. The approach, based on Clive Finkelstein’s business-side Information Engineering, is hands-on, practical, and explicit in terminology and reasoning. Filled with illustrations, examples, and exercises, Logical Data Modeling makes its subject accessible to readers with only a limited knowledge of database systems. The book covers all essential topics thoroughly but succinctly: entities, associations, attributes, keys and inheritance, valid and invalid structures, and normalization. It also emphasizes communication with business and database specialists, documentation, and the use of Visible Systems’ Visible Advantage enterprise modeling tool. The application of design patterns to logical data modeling provides practitioners with a practical tool for fast development. At the end, a chapter covers the issues that arise when the logical data model is translated into the design for a physical database.

Logical Data Modeling 1st Table of contents:

Chapter 1: Introduction to Logical Data Modeling

What is Data Modeling?
Importance of Logical Data Modeling
Components of Logical Data Models
Difference between Logical and Physical Models

Chapter 2: Data Modeling Techniques

Entity-Relationship (ER) Modeling
Relational Model
Object-Oriented Data Modeling
UML (Unified Modeling Language) for Data Modeling

Chapter 3: Key Concepts in Data Modeling

Entities and Attributes
Relationships and Cardinality
Primary and Foreign Keys
Normalization and Denormalization

Chapter 4: Steps in the Data Modeling Process

Understanding Business Requirements
Identifying Entities and Relationships
Defining Attributes and Keys
Designing Data Structures
Ensuring Data Integrity

Chapter 5: Types of Data Models

Conceptual Data Models
Logical Data Models
Physical Data Models

Chapter 6: Normalization Techniques

Introduction to Normal Forms
First, Second, and Third Normal Forms
Boyce-Codd Normal Form (BCNF)
Higher Normal Forms and Their Importance

Chapter 7: Developing Logical Data Models

Guidelines for Effective Logical Models
Case Studies in Logical Data Modeling
Transforming Business Requirements into Logical Models

Chapter 8: Best Practices for Logical Data Modeling

Consistency in Naming Conventions
Defining Clear Relationships
Model Iteration and Refinement
Handling Complex Data Types

Chapter 9: Data Model Validation and Quality Assurance

Ensuring Data Integrity
Verifying Model Consistency
Model Review Techniques

Chapter 10: Advanced Topics in Logical Data Modeling

Temporal Data Modeling
Distributed Data Models
Hierarchical and Network Data Models

Chapter 11: Tools for Data Modeling

Overview of Data Modeling Tools
Comparing Data Modeling Software
Using CASE Tools for Logical Data Modeling

Chapter 12: Conclusion and Future Trends in Data Modeling

The Evolution of Data Models
Impact of Big Data and NoSQL on Logical Data Modeling
Future Challenges and Trends

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