Data Modeling

Definition of Data Modeling as it relates to Technology, Data Science, Business Intelligence, Data Warehousing

Data Modeling, as part of Data Warehousing in Business Intelligence and Data Science within Technology, is the process of creating and organizing data structures to support business needs. It involves designing logical data models that define how data is related, stored, and processed to meet specific goals. This process includes identifying key entities, attributes, and relationships among data elements, as well as defining rules for data integrity and consistency. By providing a clear structure for data storage and retrieval, Data Modeling plays a critical role in enabling effective data analysis and decision-making within an organization.

Note
  • [maas.com] Maas Database Applications GmbH – maas.com – Expert Data Modeling – Code Generation – Long Life Database Applications
  • [erwin.com] Data Intelligence Data Modeling Solutions | erwin
  • [info.spatial.com] Spatial | 3D Modeling Solutions and Data Interoperability Tools
  • [EdgeAnalytics.us] Edge Analytics - Business Analytics & Modeling - Data & Analytics
  • [marco-brambilla.com] Marco Brambilla – Data Science and Model-Driven Engineering.
  • [teslafi.com] TeslaFi.com Tesla Model S 3 X Y Data Logger
  • [docs.datasecurity.org] Data Security Maturity Model | Version 2.0
  • [odmx.org] ODMX – An information model and associated cyberinfrastructure for earth science data
  • [Prosopography.net] GitHub - IPIF/prosopogrAPhI: Tentative way towards a shared API for prosopographical data based on the factoid model (Bradley/Short 2005)
  • [adrm.com] ADRM Software | Industry Data Models
  • [DataSecurity.org] DSMM - Data Security Maturity Model
  • [DataScienceEthics.com] Data Science Ethics - Discussing Model Behavior
  • [Quanted.com] Quanted | Data Testing Solutions for Predictive Models
  • [Hydrologic.com] HydroLogic: hydroinformatics, data science, hydrological modelling
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