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  2. Data modeling - Wikipedia

    en.wikipedia.org/wiki/Data_modeling

    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:

  3. Database design - Wikipedia

    en.wikipedia.org/wiki/Database_design

    The following steps are suggestion of the data modeling process for Microsoft Access, a relational DBMS. Determine the purpose of the database – This helps prepare for the remaining steps. Find and organize the information required – Gather all of the types of information to record in the database, such as product name and order number.

  4. Requirements analysis - Wikipedia

    en.wikipedia.org/wiki/Requirements_analysis

    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 ...

  5. Structured systems analysis and design method - Wikipedia

    en.wikipedia.org/wiki/Structured_systems...

    Logical Data Modelling The process of identifying, modelling and documenting the data requirements of the system being designed. The result is a data model containing entities (things about which a business needs to record information), attributes (facts about the entities) and relationships (associations between the entities). Data Flow Modelling

  6. Goal-oriented Requirements Language - Wikipedia

    en.wikipedia.org/wiki/Goal-oriented_Requirements...

    Goal-oriented Requirements Language (GRL) allows to express conflict between goals and helps to make decisions that resolve conflicts. There are three main categories of concepts in GRL: intentional elements, intentional relationships and; actors. [2]

  7. Anchor modeling - Wikipedia

    en.wikipedia.org/wiki/Anchor_Modeling

    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.

  8. Snowflake schema - Wikipedia

    en.wikipedia.org/wiki/Snowflake_schema

    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 .

  9. Requirements Modeling Framework - Wikipedia

    en.wikipedia.org/wiki/Requirements_Modeling...

    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.