practical data modelling
Data Modelling is the sharpest scope management tool available to information systems development
This 2 day course in data modelling includes the individually available Introduction to Data Modelling. Which includes, how to read data models, modelling from primary sources, and provides case studies which cover the areas of:
- Introduction to Relational modelling
- Removing redundancy through normalisation
- Entity Modelling
- Attribute modelling including data types, value range & codes
- Development of attributed conceptual models
- Practical development of a data model utilising example scenarios
Day 2 of the course expands on the first day content with: More sophisticated modelling techniques, practical warehouse/lake modelling and larger case studies
- Subtypes & Supertypes
- Time & History
- Nulls, optional and completeness
- Types of identifiers (keys)
- De-normalisation
- Reuse, patterns & resources
- Data warehousing modelling (Star Schemes and an introduction to Vault models)
- List Item
day 1
Introduction to data MODELLING
Learn the fundamentals to build a data model for your business, including core concepts and common uses
day 2
advanced modelling
Build on your data modelling foundations, focusing on implementing different styles of databases
Robinson Ryan supports your professional growth
and the achievement of your goals
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