Examples of using Data models in English and their translations into Ukrainian
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There have been several data models.
See Data models in Excel Services.
There are several great logical data models.
Data models for different systems are arbitrarily different.
Implementing analytical data models, such as OLAP cubes.
Implementation of one conceptual data model may require multiple logical data models.
Automation of the grid(AI and data models, intelligent measurement technology).
Data models can be treated as living documents, capable of changing in response to an evolving business world.
Conceptual, logical and physical data models are very different in their objectives, goals and content.
To facilitate the process of developing(designing) a database, the so-called semantic data models are used.
This is not the only way to look at data models, but it is a useful way, particularly when comparing models.[1].
Data models are progressive; there is no such thing as the final data model for a business or application.
Students will learn proof techniques, algorithm analysis, combinatorics, finite automata,and discrete data models.
Automatic built-in documentation with template tags and data models, accessible through the administrative application.
Advanced Excel user, the ability to work with pivot tables, pivot charts,smart tables and data models in Excel;
Data models need to be well-documented and tell the entire story of the data, who can access what, when, where and why.
This course is designed to impart knowledge of Cassandra concepts,high-scalable Data models and Cassandra Architecture.
Top-down logical data models, on the other hand, are created in an abstract way by getting information from people who know the subject area.
Speech topic: Rich-web user interfaces, projects for creating UI for relation-based(GWT-PF)and semantic-based(ODB-UI) data models.
That's because UI and data models tend to adhere to the same information architecture, which means the work of separating your UI into components is often trivial.
The Soil Information System™(SIS) produces highly accurate soil andtopographic information which outputs a variety of three-dimensional data models.
Defining data models for their new types(for example, spatial, temporal, graphic) and their integration with traditional database systems;
Physical data models for each implementation would differ significantly, not least due to underlying operating-system requirements that may sit underneath them.
This data isolation is an unintended artifact of the data modeling methodology that results in the development of disparate data models.
Create presentations, data models, and reports with tools and capabilities like PowerPoint Morph, new chart types in Excel, and improved inking across apps.
To obtain optimal value from an implemented data model, it is very important to define standards that will ensure that data models will both meet business needs and be consistent.
Physical data models describe how data is stored in the computer, representing information such as record structures, record ordering, and access paths.
Just as there are multiple data models for 64-bit architectures, the 16-bit Intel architecture allows for different memory models- ways to access a particular memory location.
Data Models: A data model is a standard way to define how data relates to other data and how all data is processed and stored.