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Database Design and Data Normalization Course Summary
Relational Databases & Data Normalisation Overview Training Courses London. Learn how to decide which tables and columns are required for a database, plan relationships, how to decide on data types and how to relate tables.
Database Design and Data Normalization Course Description
Session 1:
Introduction to Relational Databases
The Database Approach
Database Management Systems
The function of a Database Management System
The Processing Architecture
The Schema Architecture
The Storage Architecture
An overview of Database System Development
An overview of general database principles
Session 2:
Conceptual Data Models
Overview of Entity Models
Entities and how to identify them
Attributes and how to identify them
Relationships and their qualities
Building an Entity Relationship Diagram
Resolving many-to-many relationships
Sub-type and Super-type Relationships
Arc Relationships
Recursive Relationships
Constraints and Assumptions
Normalization to the First Normal Form (1NF)
Normalization to the Second Normal Form (2NF)
Normalization to the Third Normal Form (3NF)
Exercises: Analyzing a specification
Creating an Entity Relationship Diagram from it
Session 3:
The Relational Model
Relational Structure
Relational Terminology
Domains
A Relational schema
Candidate keys and Primary Keys
Foreign Keys
Key Constraints
Attribute Constraints
Implementing Sub-type/Super-type Relationships
Views
Denormalization using Pre-joined Tables
Denormalization using Derived Data
An Introduction to Structured Query Language (SQL)
Simple Queries
Simple Updates of the Data
Included in the Database Design and Data Normalization Courses:
Database Design and Data Normalization Course Certificate on completion
Database Design and Data Normalization Course Manual
Practical Database Design and Data Normalization Course exercises, Database Course Homework / Database Course Revision work
After the course, 1 free session for questions online Database Course via Gotomeeting.com.
Max group size, online and in classroom, on this Database Course is 4.