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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 Course 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 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
  • Database administrators
Prerequisites

No specific prerequisites are mandatory for this course

Oracle Training Course duration

2 - 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

     
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