Course details
This course is one common starting point for the entire database curriculum. 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. 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.
- What Is Data Modeling?
- About System Design Methodologies
- More About Case Tools
- Identifying Entities
- Identifying Attributes
- A Simple Modeling Scenario
- Identifying Relationships
- A Simple Data Model Solution
- Supplementing The Requirements Specification
- Refining The Attribute Definitions
- Refining The Relationship Definitions
- About Application Database Models
- Transformation To Relational Model
- Defining Domains
- Defining Supertypes & Subtypes
- Defining Arcs
- Defining Lattices
- Basic Classic Structures
- Advanced Classic Structures
- Relational Implementation
- Electronics Database Logical Model
- Electronics Database Physical Model
- Supertype & Arc Transformation Options
- More About A Relational Database
- Relational Database Objects
- Sql Ddl
- What Is A Data Warehouse?
- About Warehouse Models & Terminology
- Star Schema Model
- Snowflake Schema Model
- Contrast Oltp & Warehouse Databases
Course Location
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