Oracle Training : Relational Database Design & Data Modeling

Relational Database Design & Data Modeling

Oracle Training Overview

This courseware training guide book will teach students relational database design and data modeling concepts. This is a common starting point for the entire database curriculum. In addition to receiving the print copy of this course book, all students will receive the two e-Learning modules described at the right.

Oracle Training Prerequisites

No specific prerequisites are mandatory for this course.

Oracle Training Audience

The target audience for this course is all database professionals concerned about the design and implementation of databases. Among the specific groups for whom this course will be helpful are:

Business analysts
Data modelers, data analysts and data architects
Senior application designers and developers
Database administrators

Oracle Training Objectives

The objective of this course is to consider the logical design of relational databases using a methodology known as semantic data modeling and related practical techniques. This same course is also known by the name ORACLE10g DESIGNER DATA MODELING. Major subject areas to be explored are:

Building a logical data model of increasing complexity and accuracy
Transforming a logical model into a physical model for a relational database
Using object oriented and semantic modeling techniques to refine a model
Identifying classic structures and patterns which may be reused among many different models.
Learn about star schemas, snowflake schemas and data warehouse models
Introduce the use of a data model diagramming tool and CASE tools
Consider the physical objects of a relational database and how they implement a logical model.

Oracle Training Course Duration

2 or 3 Days

Oracle Training Course outline

ABOUT DATA MODELING & RELATIONAL DATABASE DESIGN

WHAT IS DATA MODELING?
ABOUT SYSTEM DESIGN METHODOLOGIES
MORE ABOUT CASE TOOLS

BUILDING A SIMPLE DATA MODEL

IDENTIFYING ENTITIES
IDENTIFYING ATTRIBUTES
A SIMPLE MODELING SCENARIO
IDENTIFYING RELATIONSHIPS
A SIMPLE DATA MODEL SOLUTION

ACHIEVING A MORE ACCURATE MODEL

SUPPLEMENTING THE REQUIREMENTS SPECIFICATION
REFINING THE ATTRIBUTE DEFINITIONS
REFINING THE RELATIONSHIP DEFINITIONS

TRANSFORM DATA MODEL INTO APPLICATION DATABASE MODEL

ABOUT APPLICATION DATABASE MODELS
TRANSFORMATION TO RELATIONAL MODEL

SEMANTIC & OBJECT ORIENTED MODELING

DEFINING DOMAINS
DEFINING SUPERTYPES & SUBTYPES
DEFINING ARCS
DEFINING LATTICES

CLASSIC STRUCTURES & PATTERNS

BASIC CLASSIC STRUCTURES
ADVANCED CLASSIC STRUCTURES

DATA MODEL IMPLEMENTATION USING RELATIONAL DATABASES

RELATIONAL IMPLEMENTATION
SUPERTYPE & ARC TRANSFORMATION OPTIONS
MORE ABOUT A RELATIONAL DATABASE
RELATIONAL DATABASE OBJECTS
SQL DDL

DATA WAREHOUSE MODELS

WHAT IS A DATA WAREHOUSE?
ABOUT WAREHOUSE MODELS & TERMINOLOGY
STAR SCHEMA MODEL
SNOWFLAKE SCHEMA MODEL
CONTRAST OLTP & WAREHOUSE DATABASES