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Data Models Relationships CustomerID Name EmployeeID BirthDate approves takes OrderDate Foreign Keys TakenByEmployeeID FK ApprovedByEmployeeID FK FKs results of Relationships Migrated attribute may be role named not. Contentious DM Issues Oct 2008 Data Modeling Contentious Issues Karen Lopez InfoAdvisors Inc. www. infoadvisors. When To Use Varchar Variable in length Extra storage Some trick for managing Varchar 1 Varchar -Vote What makes sense 1. - Joseph Our Process vote early and vote...
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Start by identifying the key stakeholders and understanding their requirements.
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Gather all relevant data and organize it in a structured manner.
03
Define the purpose and goals of the data modeling process.
04
Identify any potential contentious issues related to the data model.
05
Engage in open and transparent communication with all stakeholders to address the contentious issues.
06
Document the agreed-upon resolutions and incorporate them into the data model.
07
Regularly review and update the data model to ensure it remains relevant and aligned with the evolving requirements.

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Data architects who are responsible for designing and implementing data models.
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Business analysts who need to understand the data structure and relationships.
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Database administrators who are involved in managing and optimizing the database.
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Data scientists who rely on accurate and well-designed data models for their analytical work.
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Companies or organizations that deal with large amounts of data and want to ensure proper data management and integration.
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Data modeling contentious issues refer to disagreements or disputes related to the design and structure of data models.
Data analysts, data architects, and other professionals involved in data modeling may be required to file contentious issues.
Data modeling contentious issues can be filled out by documenting the disagreements or disputes encountered during the data modeling process.
The purpose of documenting data modeling contentious issues is to address and resolve disputes in data modeling and ensure the accuracy and integrity of data models.
Information such as the nature of the dispute, parties involved, proposed solutions, and any impact on data models should be reported on data modeling contentious issues.
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