Data Modelling training course
Data Modelling training - 2 days - Please call for a quote

Data Modelling training - ISEB accredited

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
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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

Data Modelling Training Course Prerequisites:-

  • There are no prerequisites for this Data Modelling training course.

Data Modelling Training Recommended Reading:-

Data Modeling - G. Lawrence Sanders - buy from amazon
home book this course resources 01273 622272            info@siliconbeachtraining.co.uk

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