Title

Centralized Or Federated Data Management Models, It Professionals' Preferences

Abstract

The purpose of this paper is to evaluate IT professionals' preferences and experiences with the suitable data management models (Centralized Data Model or Federated Data Model) selection. The goal is to determine the best architectural model for managing enterprise data; and help organizations to select an architectural model. The study compared and contrasted the federated and centralized data models within the context of business and technology requirements using a survey method. Each model is ranked using the following set of applicable factors: cost, schedule, performance, efficiency, limitations, risk, training, operations, compliances, deployment, security, accessibility, dependability, data quality, stability, maintainability, reliability, availability, flexibility, scalability, and predictability. The survey involved practitioners working in various aspects of enterprise data management and use various MDM tools and technologies for organization's business requirements. IT Professionals have detailed insights and knowledge into the practical aspect of the data management technologies. Therefore, they can identify any gaps or deficiency that may exist with the usage of the data management models. © American Society for Engineering Education, 2014.

Publication Date

1-1-2014

Publication Title

ASEE Annual Conference and Exposition, Conference Proceedings

Number of Pages

-

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

84905159198 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84905159198

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