Empowering collaboration between diverse data users
Posted: Tue Feb 11, 2025 7:11 am
The first challenge is the relationships between these models. DAMA Dictionary defines a semantic model as “a conceptual data model that provides structure and defines meaning for non-tabular data, making that meaning explicit enough that a human or software agent can reason about it.” Thus, we may conclude that a semantic model is a type of conceptual model that includes semantic information.
The second challenge is that DAMA-DMBOK2 and the TOGAF® Standard disagree on the key components of the conceptual/semantic model. DAMA-DMBOK2 includes “business subject areas,” “concepts,” or “phenomena” as its core subjects. The TOGAF® Standard operates with data entities as the core components of a conceptual model, while data cambodia whatsapp number data entities are components of a logical model in the DAMA-DMBOK2 approach.
Steve Hoberman, a data modeling guru, defines this type of model as a “business terms model” that captures business concepts, their definitions, and relationships.
In any case, developing conceptual models, according to Laurel Sturges and Kasi Anderson, has multiple benefits such as:
Aligning and simplifying business terminology and facilitating communication across different business domains
Identifying business scope and needs for data-related initiatives
Generative AI will significantly impact data modeling. According to Nvidia CEO Jensen Huang, “Generative AI will be more of an operating system, and humans can tell computers in plain language to create applications. Huang said large language models (LLMs) will help humans run their ideas through computers.”
The second challenge is that DAMA-DMBOK2 and the TOGAF® Standard disagree on the key components of the conceptual/semantic model. DAMA-DMBOK2 includes “business subject areas,” “concepts,” or “phenomena” as its core subjects. The TOGAF® Standard operates with data entities as the core components of a conceptual model, while data cambodia whatsapp number data entities are components of a logical model in the DAMA-DMBOK2 approach.
Steve Hoberman, a data modeling guru, defines this type of model as a “business terms model” that captures business concepts, their definitions, and relationships.
In any case, developing conceptual models, according to Laurel Sturges and Kasi Anderson, has multiple benefits such as:
Aligning and simplifying business terminology and facilitating communication across different business domains
Identifying business scope and needs for data-related initiatives
Generative AI will significantly impact data modeling. According to Nvidia CEO Jensen Huang, “Generative AI will be more of an operating system, and humans can tell computers in plain language to create applications. Huang said large language models (LLMs) will help humans run their ideas through computers.”