Relational Database Design and Data Modeling Training

Course #:WA1387

Relational Database Design and Data Modeling Training

This course will teach participants relational database design and data modeling concepts.  This is a common starting point for the entire Oracle database training curriculum.

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
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
Prerequisites
 

None

Duration
 

Three days

Outline of Relational Database Design and Data Modeling Training

1. ABOUT DATAMODELING AND DATABASE DESIGN

  • What is Data Modeling?
  • About System Design Methodologies

2. BUILDING A SIMPLE DATA MODEL

  • Identifying Entities
  • Identifying Attributes
  • A Simple Modeling Scenario

3. ACHIEVING A MORE ACCURATE MODEL

  • Supplementing The Requirements Specification
  • Refining The Attributes Definitions
  • Refining the Relationship Definitions

4. TRANSFORM DATA MODEL INTO APPLICATION DATABASE

  • About Application Database Models
  • Transformation To Relational Model

 

5. SEMANTIC & OBJECT ORIENTED MODELING

  • Defining Domains
  • Defining Supertypes and Subtypes
  • Defining Arcs
  • Defining Lattices

6. CLASSIC STRUCTURES & PATTERNS

  • Basic Classic Structures
  • Advanced Classis Structures

7. DATA MODEL IMPLEMENTATION USING RELATIONAL DATABASES

  • Relational Implementation
  • Supertype & Arc Transformation Options
  • More About a Relational Database
  • Relational Database Objects
  • SQL DDL

8. DATA WAREHOUSE MODELS

  • What is a Data Warehouse?
  • About Warehouse Models & Terminology
  • Star Schema Model
  • Snowflake Schema Model
  • Contrast OLTP & Warehouse Databases

 

We regularly offer classes in these and other cities. Atlanta, Austin, Baltimore, Calgary, Chicago, Cleveland, Dallas, Denver, Detroit, Houston, Jacksonville, Miami, Montreal, New York City, Orlando, Ottawa, Philadelphia, Phoenix, Pittsburgh, Seattle, Toronto, Vancouver, Washington DC.