Data Modelling
Data modelling involves the process of creating a visual representation of data structures and relationships within a database system. This visualization helps to organize and streamline the flow of information, making it easier to understand and manipulate data effectively. Data modelling typically includes defining entities, attributes, and relationships between data elements to ensure data integrity and accuracy. By utilizing various techniques and tools, data modelling allows for the design and implementation of efficient database systems that meet the specific needs of an organization.
External Links
- [maas.com] Maas Database Applications GmbH – maas.com – Expert Data Modeling – Code Generation – Long Life Database Applications
- [Hydrologic.com] HydroLogic: hydroinformatics, data science, hydrological modelling
- [erwin.com] Data Intelligence Data Modeling Solutions | erwin
- [docs.datasecurity.org] Data Security Maturity Model | Version 2.0
- [odmx.org] ODMX – An information model and associated cyberinfrastructure for earth science data
- [teslafi.com] TeslaFi.com Tesla Model S 3 X Y Data Logger
- [marco-brambilla.com] Marco Brambilla – Data Science and Model-Driven Engineering.
- [Prosopography.net] GitHub - IPIF/prosopogrAPhI: Tentative way towards a shared API for prosopographical data based on the factoid model (Bradley/Short 2005)
- [EdgeAnalytics.us] Edge Analytics - Business Analytics & Modeling - Data & Analytics
- [Quanted.com] Quanted | Data Testing Solutions for Predictive Models
- [adrm.com] ADRM Software | Industry Data Models
- [info.spatial.com] Spatial | 3D Modeling Solutions and Data Interoperability Tools
- [DataScienceEthics.com] Data Science Ethics - Discussing Model Behavior
- [DataSecurity.org] DSMM - Data Security Maturity Model