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¶ … Modeling
Review 3 resources (journal articles or web sites) that define data modeling. Provide the reference in APA format, identify the value of the site, and summarize the findings of the site.
Data modeling: Website reviews
Resource
Ambler, Scott W. (2011). Data Modeling 101. Agile Data. Retrieved at:
http://www.agiledata.org/essays/dataModeling101.html
This resource provides an introduction to data modeling with a comprehensive table of contents with easy 'links' to various areas of the article. It clearly defines different types and uses of data modeling, such as the three basic styles of data model: conceptual models; logical models; and physical models. Most of the article is devoted to comparing conceptual and logical models, given that these are most the commonly used in agile products. It also provide a step-by-step overview of the general data modeling process including: the need to identify entity types; identify attributes; apply naming conventions; identify relationships; apply data model patterns; assign...
The information is presented in a manner to help budding IT professionals use data modeling in a useful fashion in their work, and every step is illustrated by charts and examples. Greater attention is given to the types of models used in the everyday life of a developer and there is also career advice given to the professional. "You should take the opportunity to work with the enterprise architects within your organization...they should be taking an active role on your project, mentoring your project team in the enterprise architecture (if any), mentoring you in modeling and architectural skills, and aiding in your team's modeling and development efforts."
Resource 2
Data modeling - Conceptual, logical, and physical data models. (2012). 1 Key Data. Retrieved at:
http://www.1keydata.com/datawarehousing/data-modeling-levels.html
Rather than defining the different types of data modeling in words alone,…
Data modeling. (2012). Information Management. Retrieved at:
http://www.information-management.com/channels/data_modeling.html
This online magazine offers relevant information to developers. (Free registration is required to access the website). It contains articles such as "Big data shakes traditional BI perspectives" and "Modeling what matters -- data modeling throughout, beyond the enterprise." The intended audience of the journal is individuals already working in enterprises and it addresses issues that are pertinent to professionals today in the field of data modeling. The latter article, for example, addresses the increased demand for data modeling. "The value of data modeling continues to grow in new directions. This is partly due to the lure of cloud computing, but also because of the increasingly interconnected world of enterprise partnerships."
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