Februari 2016
For the second time in a row, CaseTalk is sponsoring the Data Modeling Zone. This time, we’ll visit Berlin, Germany and Portland, USA.
Dates
Data Modeling
Data modeling is described as a craft and once completed the results may even seem artful. Yet outsiders may see data modeling as abstract, time consuming or even unnecessary. In many cases the data modeler interviews business experts, studies piles of requirements, talks some more, and then, hocus pocus, presents a diagram with boxes, crows feet, arrows, etc… Then the slow process begins to keep the diagrams up to date, explain what the diagrams behold, and sometimes even data modelers themselves may get lost while maintaining a growing set of data models and requirements.
Fact based information modeling is the very opposite of abstract. Fact based information modeling uses natural language which expresses facts that are intelligible for both business and technical people. It does not require people to understand the modeler’s magical language of boxes and arrows. Although models can be presented in several diagramming notations, they can be validated in natural language at all times. This gives both data modelers, technically skilled people, and business people the benefit of having a well documented and grounded data model. Therefor the method of Fact Oriented Modeling, is also known as “Data Modeling by Example”.
Presentation highlights:
- key elements of fact oriented modeling;
- data modeling with facts;
- visualizing the model;
- validating and verbalizing;
- transforming and generating output
(E.g.: SQL, Relational, UML, XSD, PowerDesigner, etc.).
