Приклади вживання Data modeling Англійська мовою та їх переклад на Українською
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Data modeling is changing.
Layered Data Modeling.
Data modeling may be performed during various types of projects and in multiple phases of projects.
Comparison of data modeling tools.
Data modeling is also used as a technique for detailing business requirements for specific databases.
Here are some changes observed in data modeling techniques:.
Strong data modeling skills;
EXPRESS and EXPRESS-G(ISO 10303-11)is an international standard general-purpose data modeling language.
Data modeling defines not just data elements, but their structures and relationships between them[3].
In this lecture,he characterized statistical work as a trilogy of data collection, data modeling and analysis, and decision making.
Data modeling defines not just data elements, but also their structures and the relationships between them.
This data isolation is an unintended artifact of the data modeling methodology that results in the development of disparate data models. .
Data modeling during systems analysis: In systems analysis logical data models are created as part of the development of new databases.
The environment contains a tool for creating reports, notation for functional,streaming data modeling and work, and is able to calculate the cost price.
Strategic data modeling: This is part of the creation of an information systems strategy, which defines an overall vision and architecture for information systems.
Students who earn an MBA in Business Intelligencecan attain skills like pattern analysis and data modeling, while also learning to present findings in an understandable global context.
PowerDesigner data modeling tool market share in 2002 was 39%.[1] PowerDesigner is priced from $3,000 to $7,500 USD per developer seat.[2].
The company was established by the group of businessmen, engineers andscientists who have practical experience in the development of analytical information and data modeling systems for mining, geology and various industries as well as in the design, assembly and application of special C&I equipment.
Dedicated data modeling courses and capstone projects that required genuine database creation or manipulation were also excellent signs of a useful education.
Templates, drag-and-drop UI design and declarative data modeling make it easy for IT developers and enthusiasts to build apps that empower your teams.
Data modeling techniques and methodologies are used to model data in a standard, consistent, predictable manner in order to manage it as a resource.
Courses such as statistical analysis, data modeling and database architecture assist students in learning to study, present and integrate these findings.
Data modeling is a process used to define and analyze data requirements needed to support the business processes within the scope of corresponding information systems in organizations.
It is based on a novel data modeling construct, concept, and uses such operations as projection and de-projection for multi-dimensional analysis, analytical operations, and inference;
The data modeling technique can be used to describe any ontology(i.e. an overview and classifications of used terms and their relationships) for a certain universe of discourse i.e. area of interest.
Whitten et al.(2004) determined two types of data modeling: Strategic data modeling: This is part of the creation of an information systems strategy, which defines an overall vision and architecture for information systems.
The use of data modeling standards is strongly recommended for all projects requiring a standard means of defining and analyzing data within an organization, e.g., using data modeling:.
The last step in data modeling is transforming the logical data model to a physical data model that organizes the data into tables, accounts for access and storage details.