data modeling


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data modeling

1. The analysis of data, e.g., to make a practical impact on health care practices or business operations.
2. A language for describing the structure and processing of a database.
References in periodicals archive ?
Data modeling is essential in such fields as architecture, in which practitioners create plans and models to test ideas and ensure structures are buildable.
Data modeling benefited immensely from developments in knowledge representation and terminological reasoning, and new models such as CANDIDE (10) are springing up as a result of the marriage between these two areas.
This third volume of the best-selling "Data Model Resource Book" series revolutionizes the data modeling discipline by answering the question "How can you save significant time while improving the quality of any type of data modeling effort?
Data modeling is a semantic process, focused on finding the meaning of the important objects and transformations within an organization, and the information systems supporting that organization, or a specific sub-area within the organization.
today announced the availability of Universal Data Models for its ER/Studio data modeling tool.
benefit from data modeling that translates to a sound database schema.
com/reports/c70157) has announced the addition of Data Modeling Fundamentals: A Practical Guide for IT Professionals to their offering.
This article is based on the book Data Modeling for the Business, by Steve Hoberman, Donna Burbank, and Chris Bradley, featuring CA ERwin[R] Data Modeler.
DAYTON, Ohio -- Teradata, a division of NCR Corporation (NYSE:NCR), has announced its acquisition of the American Information Management Group's TRIAD Data Modeling Suite.
CA's AllFusion ERwin Data Modeler is an industry-leading data modeling solution that streamlines the creation and maintenance of databases, data warehouses and enterprise data models.
SchemaLogic's integrated solution provides improved Business and Records Classification, Business Semantic Management, Data Modeling Services, Change Management, Consistency, Best Practices/Compliance and Improved Findability.