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C04 Introduction to Data Modelling

3 Day Course
Course Overview: 
The “Introduction to Data Modelling” course provides a comprehensive introduction to the theory and practice of data modelling and its practical application during business and system analysis and computer system  development. The emphasis is on the practical, and the objective is to enable students to use the technique to gain a crystal clear understanding of any business area and the user requirements of that area, as well as to produce a flexible, robust database that fully meets those requirements.

The course has a strong practical orientation, and uses real business scenarios and problems to allow the students to practice what they have been taught.
                                                                                                                    
Course Content:

Day One
Introduction and Objectives
What is Data Modelling?
Advantages and Disadvantages of Modelling / Not Modelling
Elements of a Data Model (including MetaData)
Practical Model Exercises (Elemental – Part 1)
The Data Modelling Process and Role Players
Practical Model Exercises (Elemental – Part 2)
Summary of day’s training

Day Two
Re-cap of key learning points
Achieving a normalised model
Time Independence
Keys and Identifiers
Attributes of a good data model
Practical Model Exercises (Simple, Scenario-based)
Running an Effective Data Modelling Session
Summary of day’s training

Day Three
People, Process, Data and Technology
Data Model Testing
Data Quality Issues
Re-cap of key learning points
Practical Model Exercises (More Challenging, Scenario-based – Part 1)
Types of Data Model and their role in the SDLC / Agile Development
Data Model Management
Practical Model Exercises (More Challenging, Scenario-based – Part 2)
Course Summary
Course Evaluation

Duration:   
3 days (8.00 to 16.00)                   

Intended participants: 
Business Analysts, System Developers, System Architects, Data Modellers, Database Administrators.

Presenter:
Amberjack Systems Engineering. Two trainers are used for the duration of the course, which ensures that all participants receive the necessary focused attention during practical exercises. Both trainers have extensive practical Data Modelling experience.

Pre-requisites
None

Nr of participants:
Minimum 8 Maximum 12 (Must be an even number due to ‘pairing’ of students)

Registration:
For Course Schedules, Locations, Fees and Registration information:  see www.infoblueprint.co.za > Services > Education and Coaching or contact Tammy on 021 551 2410.   
We can also present this course ‘in-house’ if required. Please contact Alan Snow on 079 907 7680 to discuss your requirements.