Data Management Model Selection: IT Professionals’ Preferences
Author(s) -
Gholam Ali Shaykhian,
Mohd Khairi,
Jinan Ziade
Publication year - 2015
Language(s) - English
Resource type - Conference proceedings
DOI - 10.18260/p.23777
Subject(s) - computer science , maintainability , flexibility (engineering) , context (archaeology) , data quality , dependability , data modeling , scalability , data management , schedule , software deployment , quality (philosophy) , process management , database , software engineering , operations management , engineering , paleontology , metric (unit) , statistics , mathematics , biology , operating system , philosophy , epistemology
Data Management Models selection (Centralized Data Model or Federated Data Model) for managing organization data is influenced by many factors. 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 purpose of this paper is to compare/contract expert testimonies of data management with IT professionals’ practical aspect of the data management technologies.
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