{"id":11097,"date":"2026-03-24T14:34:46","date_gmt":"2026-03-24T18:34:46","guid":{"rendered":"http:\/\/data-mania.com\/blog\/?p=11097"},"modified":"2026-03-24T14:34:46","modified_gmt":"2026-03-24T18:34:46","slug":"what-is-data-modeling-data-modeling-vs-data-analysis-101","status":"publish","type":"post","link":"https:\/\/www.data-mania.com\/blog\/what-is-data-modeling-data-modeling-vs-data-analysis-101\/","title":{"rendered":"What is Data Modeling – Data Modeling vs Data Analysis 101"},"content":{"rendered":"

The disciplines and subdisciplines of data are complex and often overlaid. Data analysis, engineering, and science are foundational concepts, while data modeling refers to the process of mapping data at conceptual, logical, and physical levels.\u00a0<\/span><\/p>\n

Data modeling overlaps with data science, engineering, and analysis, but its angle is probably more towards the engineering side of things. Namely, data modeling creates visual maps and references that allow data practitioners to visualize a data system.\u00a0<\/span><\/p>\n

Data analysis involves interpretation, critical thinking, and other analytical techniques to derive meaning. Modeling is the process of connecting data systems together, e.g., connecting a point-of-sale device to a CRM, or a sales database to a stock system.<\/span><\/p>\n

\"what<\/p>\n

What is Data Modeling?<\/strong>\u00a0<\/span><\/h2>\n

Data modeling is the process of creating maps, graphs, or diagrams that visualize the relationships between data. In a data project, development of models is early and the project’s goals and architectures are the bases for their designs. Any virtual data project requires data models are required for virtually any data project which requires different systems to talk to each other in a structured manner.\u00a0<\/span><\/p>\n

The content and format of the diagrams themselves will vary with the project needs and architecture. Most database models are either:<\/span><\/p>\n