Technical Data Modeling is a technique for developing high quality data structures. Technical data modeling transforms a business object model to a conceptual data model, to a logical data model then to a physical data model.
||OVERVIEW OF TECHNICAL DATA MODELING
Technical data modeling shifts from a business view of the natural world to a technical view of data structures and their organization.
Since the data models are direct transformations of the business object model, the resulting data structures are:
Data structures that are stable, flexible, intuitive, complete, and compact provide more value to an enterprise and require less spending on maintenance, support, training and enhancements.
- Stable - The structure is prepared for unanticipated queries
- Flexible - New relationships and new objects can be added without altering the initial data structure
- Intuitive - Users can efficiently find the data they need since the data structure matches their view of the world
- Complete - Containing all the business objects and relationships (and therefore data) the users care about
- Compact – Eliminating unnecessary redundant data and unmanaged data
Students of Advanced Strategies’ Overview of Technical Data Modeling Course will return to work:
- Understanding, at the overview level, the process for transforming a business object model into a physical data model.
- Able to read conceptual and logical data models.
- Comprehending the data modeling vocabulary.
- Review of Business Object Modeling
- Developing a Conceptual Data Model
- Developing a Logical Data Model
- Data Structure Issues
- Highlights of Transaction Analysis
- Developing a Physical Data Model
Who Should Attend:
This course is targeted for Business Analysts who are creating business object models that will be transformed to data models by other members of their team.
Business Object Modeling
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