Data Modelling Techniques And Design 4th Edition By Toby Teorey Sam Lightstone Tom Nadeau

data modelling techniques

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Introduction To Data Modelling Techniques And Design

Download Free Data Modelling Techniques And Design, Database technology has evolved rapidly in the three decades since the rise and eventual dominance of relational database systems. While many specialized database systems (object-oriented, spatial, multimedia, etc.) have found substantial user communities in the science and engineering fields, relational systems remain the dominant database technology for business enterprises.

Relational database design has evolved from an art to a science that has been made partially implementable as a set of software design aids. Many of these design aids have appeared as the database component of computer-aided software engineering (CASE) tools, and many of them offer interactive modeling capability using a simplified data modeling approach. Logical design that is, the structure of basic data relationships and their definition in a particular database system is largely the domain of application designers.

These designers can work effectively with tools such as Erwin Data Modeler or Rational Rose with UML, as well as with a purely manual approach. Physical design, the creation of efficient data storage and retrieval mechanisms on the computing platform being used, is typically the domain of the database administrator (DBA). Today’s DBAs have a variety of vendor-supplied tools available to help design the most efficient databases. This book is devoted to the logical design methodologies and tools most popular for relational databases today. Physical design methodologies and tools are covered in a separate book.

In this chapter of Data Modelling Techniques, we review the basic concepts of database management and introduce the role of data modeling and database design in
the database lifecycle.

Download Free Data Modelling Techniques And Design Fourth Edition Chapters And Sections

Table Of Contents For Data Modelling Techniques Pdf

Chapter 1
Introduction

Data and Database Management
The Database Life Cycle
Conceptual Data Modeling
Summary
Literature Summary

Chapter 2
The Entity-Relationship Model

Fundamental ER Constructs
Basic Objects: Entities, Relationships, Attributes
Degree of a Relationship
Connectivity of a Relationship
Attributes of a Relationship
Existence of an Entity in a Relationship
Alternative Conceptual Data Modeling Notations
Advanced ER Constructs
Generalization: Supertypes and Subtypes
Aggregation
Ternary Relationships
General n-ary Relationships
Exclusion Constraint
Referential Integrity
Summary
Literature Summary

Chapter 3
The Unified Modeling Language (UML)

Class Diagrams
Basic Class Diagram Notation
Class Diagrams for Database Design
Example from the Music Industry
Activity Diagrams
Activity Diagram Notation Description
Activity Diagrams for Workflow
Rules of Thumb for UML Usage
Summary
Literature Summary

Chapter 4
Requirements Analysis and Conceptual Data Modeling

Introduction
Requirements Analysis
Conceptual Data Modeling
Classify Entities and Attributes
Identify the Generalization Hierarchies
Define Relationships
Example of Data Modeling: Company Personnel and Project Database
View Integration
Preintegration Analysis
Comparison of Schemas
Confirmation of Schemas
Merging and Restructuring of Schemas
Example of View Integration
Entity Clustering for ER Models
Clustering Concepts
Grouping Operations
Clustering Technique
Summary
Literature Summary

Chapter 5
Transforming the Conceptual Data Model to SQL

Transformation Rules and SQL Constructs
Binary Relationships
Binary Recursive Relationships
Ternary and n-ary Relationships
Generalization and Aggregation
Multiple Relationships
Weak Entities
Transformation Steps
Entity Transformation
Many-to-Many Binary Relationship Transformation
Ternary Relationship Transformation
Example of ER-to-SQL Transformation
Literature Summary

Chapter 6
Normalization

Fundamentals of Normalization
First Normal Form
Superkeys, Candidate Keys, and Primary Keys
Second Normal Form
Third Normal Form
Boyce-Codd Normal Form
The Design of Normalized Tables: A Simple Example
Normalization of Candidate Tables Derived from ER Diagrams
Determining the Minimum Set of 3NF Tables
Fourth and Fifth Normal Forms
Multivalued Dependencies
Fourth Normal Form
Decomposing Tables to 4NF
Fifth Normal Form 3
Summary
Literature Summary

Chapter 7
An Example of Logical Database Design

Requirements Specification
Design Problems
Logical Design
Summary

Chapter 8
Business Intelligence

Data Warehousing
Overview of Data Warehousing
Logical Design
Online Analytical Processing (OLAP)
The Exponential Explosion of Views
Overview of OLAP
View Size Estimation
Selection of Materialized Views
View Maintenance
Query Optimization
Data Mining
Forecasting
Text Mining
Summary
Literature Summary

Chapter 9 CASE Tools for Logical Database Design

Introduction to the CASE Tools
Key Capabilities to Watch For
The Basics
Generating a Database from a Design
Database Support
Collaborative Support
Distributed Development
Application Life Cycle Tooling Integration
Design Compliance Checking
Reporting
Modeling a Data Warehouse
Semi-Structured Data, XML
Summary
Literature Summary

Appendix: The Basics of SQL
Glossary
References
Exercises
Solutions to Selected Exercises
About the Authors
Index

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