Examples of using Data models in English and their translations into Ukrainian
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Colloquial
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Ecclesiastic
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Computer
The data models should ideally be stored in a repository
create data models design based on design patterns.
While there are many ways to create data models, according to Len Silverston(1997)[7] only two modeling methodologies stand out,
Logical data models should be based on the structures identified in a preceding conceptual data model, since this describes the semantics of the information context,
Starting from raw data, data models are applied,
Conventional data models, on the other hand,
If data models are developed on a system by system basis,
To obtain optimal value from an implemented data model, it is important to define standards that will ensure that data models will both meet business needs
Important is the fact that from the“entity-relationship” model we can generate all existing data models(hierarchical, network,
While there are many ways to create data models, according to Len Silverston(1997) only two modeling methodologies stand out,
managed enterprise BI solutions, implement multidimensional and tabular data models, deliver reports with Microsoft SQL Server Reporting Services, create dashboards with Microsoft SharePoint Server PerformancePoint Services, and discover business insights by using data mining.
managed enterprise BI solutions, implement multidimensional and tabular data models, deliver reports with Microsoft SQL Server Reporting Services, create dashboards with Microsoft SharePoint Server PerformancePoint Services, and discover business insights by using data mining.
The Data Model.
Hands-on Exercise- Write a data model tree structure for a family hierarchy.
Writing scenarios of the data model control of the UI.
Layered Data Modeling.
Strong data modeling skills;
Here are some changes observed in data modeling techniques.
Comparison of data modeling tools.
Modern Neural Nets are non-linear statistical data modelling tools.