Data modelling is considered a staple in the world of data management. The skill of the data modeler and their knowledge of the business plays a large role in successful Enterprise Information Management across many organizations. Data modeling requires formal accountability, attention to metadata and getting the business heavily involved in data requirement development. These […]
Data Modelling is Data Governance Read More »
Data warehousing commonly implies complex data flows, either because of the large number of steps data transformations may consist of, or of the different types of data they carry. These issues rise interesting challenges concerning design-oriented modeling of data warehousing flows with UML.
Model Data Warehousing Flows with UML Profiles Read More »
Some databases have more complex requirements than do the more traditional applications. This led to the development of additional semantic data modeling concepts that were incorporated into conceptual data models such as the Entity-Relationship (ER) model.
Enhanced Entity-Relationship and UML Modeling Read More »
In this interview, Michael Blaha discusses the relationship between use cases gathering and database modeling. His opinion is that it is fine to capture requirements with use cases, but they should be dependend of the class model, which defines the domain of knolwedge that can be referenced by use cases. For database applications it is
Use Cases and Database Modeling Read More »
Roberto V. Zicari of www.odbms.org asked a few questions to Dr. Michael Blaha about using UML for database conceptual modeling.
How good is UML for Database Design? Read More »