Data Modeling / Data Modelling

Choose Index below for a list of all words and phrases defined in this glossary.

Data Modeling - The discipline, process, and organizational group that conducts analysis of data objects used in a business or other context, identifies the relationships among these data objects, and creates models that depict those relationships. See also Data Model.

[Category=Data Governance ]

Source: The Data Governance Institute, 27 November 2009 09:18:18, http://www.datagovernance.com/glossary-governance/

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Data Modeling - is the analysis of data objects that are used in a business or other context and the identification of the relationships among these data objects. Data modeling is a first step in doing object oriented programming.

[Category=Data Cleansing ]

Source: X4DB, 17 May 2010 08:37:28, http://www.x4db.com/glossary.html

Data Modeling - A method used to define and analyze data requirements needed to support the business functions of an enterprise. These data requirements are recorded as a conceptual data model with associated data definitions. Data modeling defines the relationships between data elements and structures.

[Category=Information Management ]

Source: Information-Management.com, 11 June 2010 11:05:22, http://www.information-management.com/glossary/d.html

[Category=Data Warehousing ]

Source: Sun.com, 24 July 2010 09:14:33, http://www.sun.com/third-party/dw/brochures/67198.Acrobat.pdf

[Category=Data Management ]

Source: DataMentors, 17 August 2010 09:20:25, http://www.datamentors.com/News-and-Resources/Glossary.html

[Category=Data Warehousing ]

Source: Aexis Business Intelligence, 20 November 2010 08:08:04, http://www.aexis.eu/DataWarehouse-Glossary/

Data modelling - The task of developing a data model that represents the persistent data of some enterprise.

[Category=Data Quality ]

Source: DAMA UK, 15 July 2011 09:02:31, http://www.damauk.org/glossary.php

data modeling - Data modeling is the formalization and documentation of existing processes and events that occur during application software design and development. Data modeling techniques and tools capture and translate complex system designs into easily understood representations of the data flows and processes, creating a blueprint for construction and/or re-engineering.

A data model can be thought of as a diagram or flowchart that illustrates the relationships between data. Although capturing all the possible relationships in a data model can be very time-intensive, it's an important step and shouldn't be rushed. Well-documented models allow stake-holders to identify errors and make changes before any programming code has been written.

Data modelers often use multiple models to view the same data and ensure that all processes, entities, relationships and data flows have been identified. There are several different approaches to data modeling, including:

   * Conceptual Data Modeling - identifies the highest-level relationships between different entities.
   * Enterprise Data Modeling - similar to conceptual data modeling, but addresses the unique requirements of a specific business.
   * Logical Data Modeling - illustrates the specific entities, attributes and relationships involved in a business function. Serves as the basis for the creation of the physical data model.
   * Physical Data Modeling - represents an application and database-specific implementation of a logical data model.

[Category=Data Management ]

Source: WhatIs.com, 22 July 2013 09:18:30, http://whatis.techtarget.com/glossary/Data-and-Data-Management

Data modelling – the analysis of data objects using data modelling techniques to create insights from the data.

[Category=Big Data ]

Source: BigData-Startup, 25 September 2013 08:51:56, http://www.bigdata-startups.com/abc-big-data-glossary-terminology

Data Modeling / Data Modelling

Data Modeling / Data Modelling - definition(s)