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Data modeling techniques and methodologies are used to model data in a standard, consistent, predictable manner in order to manage it as a resource. 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:
In computing, a snowflake schema or snowflake model is a logical arrangement of tables in a multidimensional database such that the entity relationship diagram resembles a snowflake shape. The snowflake schema is represented by centralized fact tables which are connected to multiple dimensions .
Figure demonstrating the concept of anchor modeling. Anchor modeling is an agile database modeling technique suited for information that changes over time both in structure and content. It provides a graphical notation used for conceptual modeling similar to that of entity-relationship modeling, with extensions for working with temporal data.
Litt's Tips: Normalization; Database Normalization Basics by Mike Chapple (About.com) An Introduction to Database Normalization by Mike Hillyer. A tutorial on the first 3 normal forms by Fred Coulson; Description of the database normalization basics by Microsoft; Third Normal Form with Simple Examples by exploreDatabase
The Requirements Modeling Framework (RMF) is an open-source software framework for working with requirements based on the ReqIF standard. RMF consists of a core allowing reading, writing and manipulating ReqIF data, and a user interface allowing to inspect and edit request data.
Database normalization is the process of structuring a relational database accordance with a series of so-called normal forms in order to reduce data redundancy and improve data integrity.
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Recording requirements: Requirements may be documented in various forms, usually including a summary list, and may include natural-language documents, use cases, user stories, process specifications, and a variety of models including data models. Analyzing requirements: determining whether the stated requirements are clear, complete ...