Data Modelling

Silicon Beach Training Ltd.
Brighton, East Sussex, United Kingdom

Course Format: Classroom | E-learning | Virtual Class | Online/Live | On-site/In-house | Blended | Self-paced

Course Description:

'' The Data Modelling training course is designed to be both practical and participative. Introductory ‘input�sessions are interspersed with practical exercises to illustrate the points discussed and there is a continuing case study where participants can apply their knowledge to a practical scenario.

Data Modelling Training Course Objectives
At the end of this Data Modelling training course participants will be able to:

Describe the basic principles of data modelling
Define and identify entities, attributes, relationships and keys
Define, explain and use the concepts of data relationships
Build a logical data model using advanced concepts including sub-types, super-types and entity aspects
Describe the theory and application of relational data analysis
Use relational data analysis (‘third normal form� to identify data relations and build a data model based upon them
Create a composite data model from the logical data model and the relational data model
Validate a data model against defined access and navigation requirements
Data Modelling Training Course Content
1. Principles of data modelling

Entities
Attributes
Relationships
Keys
Entity descriptions
2. Data relationships

Cardinality
Optionality
Exclusivity
Recursion
Naming relationships
Relationship descriptions
3. Data modelling �further concepts

Attribute descriptions
Domain descriptions
Sub-types, super-types
Partitioning data models
Transferable and non-transferrable relationships
Entity aspects
4. Relational data analysis

Relations
Primary and candidate keys
Third normal form analysis
5 . Drawing third normal form models

Rationalising the results of relational data analysis
Representing relations and keys
Rules for building the TNF model
Comparing the TNF model with the data model
6 . Validating the data model

Validating against requirements
Access paths
Entry points and input attributes
Navigation
Volumetrics ...''

Elements of this syllabus are subject to change.

Phone:+44 (0)1273 622272

School Address/Venue(s):

86 Gloucester Road
Brighton
East Sussex
BN1 4AP
UK

Jobs & Resumes: Brighton
Houses & Roommates: Brighton

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