Mastering Data Modelling Techniques is a seminar that covers topics such as:
- Level Set Understanding & Terminology
- Areas where Data modelling adds value to Data Management activities beyond Relational Database design
- The need for and application of Data Models in Big Data and NoSQL environments
- The critical role of Data models in other Data Management disciplines particularly Data Management and Data Governance
- Practical Application
- How to discover requirements for robust data models
- Conceptual and logical data models, and compromises for physical design
- Where industry data models can provide a kick start
- Where abstraction is valuable (and where it is risky)
- How (and where) to apply standard solutions to well-known data modelling business scenarios
- Pragmatic Learning
- How to create data models that can be easily read by humans
- The best practices for developing Data models for Big Data and NoSQL environment
- How to apply different Data modelling techniques
- The difference between Enterprise, Conceptual, Logical, Physical and Dimensional Data models
Mastering Data Modelling Techniques brings together:
- Business Intelligence & Data Warehouse Developers & Architects
- Data Modellers
- Data Analysts
- Data Architects
- Solution Architects
- Enterprise Architects
- Information Architects
- Application Architects
- Developers
- Business Analysts
- Project / Programme Managers
- Database Administrators
- Data Governance Managers
- IT Consultants
- Information Quality Practitioners
- Data Quality Managers
Prerequisite: Attendance at the Data Modelling Essentials class OR 3+ years of practical Data Modelling experience.