Examples of 'data modeling' in a sentence
Meaning of "data modeling"
Data modeling is the process of creating a conceptual representation of data and its relationships within a system. It involves identifying the entities (objects, concepts, or elements), their attributes, and the relationships between them. Data modeling is commonly used in database design and software development to ensure data integrity and efficient data management
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- The process of creating a data model.
How to use "data modeling" in a sentence
Basic
Advanced
data modeling
Business data modeling and data synchronization.
Data models are specified in a data modeling language.
That big data modeling threatens democracy.
Semantic and geometric aspects of data modeling.
The activity of data modeling leads to a schema.
Big data relies on solid data modeling.
Agile data modeling is evolutionary data modeling done in a collaborative manner.
This sounds like a data modeling problem.
Data modeling of the building with unified information access.
Knowledge of databases and data modeling.
This sense includes data modeling and process analysis.
In data modeling the data objects are examined independently of processing.
Optimized solution for data modeling.
Data modeling is a technique for defining business requirements for a database.
How it is useful for data modeling.
See also
Data modeling tools.
Comparison of data modeling tools.
A scientific foundation in the fascinating fields of spatial data modeling.
Normalization is the norm for data modeling techniques in this system.
Data modeling languages.
Gellish is a universal and extendable conceptual data modeling language.
A natural step for the data modeling of the buildings is gamification.
Different approaches of data modeling.
Data modeling is hard.
Performance efficient data modeling.
Data modeling for structuring data independent of the processes that use it.
Denormalization is the norm for data modeling techniques in this system.
This obviously raises the very difficult problem of data modeling.
Flexible data modeling.
Good data modeling requires a full understanding of the business data involved.
Corporate data modeling.
The specification of the data models is usually determined in a data modeling language.
We apply statistical and data modeling to better manage your clinical workforce.
Data modeling area has been the subject of several studies in statistics in recent decades.
We just need a different kind of data modeling than in the past.
Evolutionary data modeling is data modeling performed in an iterative and incremental manner.
Certifications are crucial when it comes to data modeling in the formal setting.
Data modeling is also used as a technique for detailing business requirements for specific databases.
Standardized models have been defined to make data modeling as efficient as possible.
Relational data modeling involves creating a detailed structure of how data interacts and relates.
The value is stored as a blob requiring no upfront data modeling or schema definition.
Traditional techniques of data modeling were not adequate for the treatment of geographical data.
The object modeling tool should allow integration with data modeling facilities.
Data modeling rather than process modeling was the starting point for building an information system.
Engaging the right people at the right time takes data modeling analysis.
Most data modeling tools allow you to develop the database design at the same time.
It is important to consider the various utilities available with the data modeling tools.
BW data modeling and application of NetWeaver technology.
Document data modelers have a different approach to data modeling than most relational database modelers.
Data Modeling tools provide a graphical depiction of the logical data requirements for the system.
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Examples of using Modeling
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I got her a job modeling at the studio
Got modeling clay and plaster here
She was going to save her modeling money to go to college
Examples of using Data
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Select the data to display on that line
There is also evidence based on modelling data
Data on these populations are often not available
