On Applying Normalized Systems Theory to the Business Architectures of Information Systems
نویسنده
چکیده
Application of the database normalization theory and the principle of orthogonal design allows us to reduce data redundancy in relational/SQL databases and hence avoid certain update anomalies and simplify development of database applications. The normalized systems theory for achieving modular and highly evolvable systems has similar goals in case of distributing the tasks of a system between its elements. We have suggested data-centric practices for finding the functional and data-centric subsystems of transactional information systems by identifying and analyzing the main business entity types and their life cycles. These subsystems and their interconnections constitute a large part of information systems’ business architectures. The specification of business architecture helps us to decompose the system development problem into more manageable subproblems. This paper studies whether the practices contribute towards creating normalized systems. We present a metamodel of the subsystems-related elements of data-centric practices and a metamodel of elements of normalized systems.
منابع مشابه
Application of Rough Set Theory in Data Mining for Decision Support Systems (DSSs)
Decision support systems (DSSs) are prevalent information systems for decision making in many competitive business environments. In a DSS, decision making process is intimately related to some factors which determine the quality of information systems and their related products. Traditional approaches to data analysis usually cannot be implemented in sophisticated Companies, where managers ne...
متن کامل3D Scene and Object Classification Based on Information Complexity of Depth Data
In this paper the problem of 3D scene and object classification from depth data is addressed. In contrast to high-dimensional feature-based representation, the depth data is described in a low dimensional space. In order to remedy the curse of dimensionality problem, the depth data is described by a sparse model over a learned dictionary. Exploiting the algorithmic information theory, a new def...
متن کاملContext-Aware Recommender Systems: A Review of the Structure Research
Recommender systems are a branch of retrieval systems and information matching, which through identifying the interests and requires of the user, help the users achieve the desired information or service through a massive selection of choices. In recent years, the recommender systems apply describing information in the terms of the user, such as location, time, and task, in order to produce re...
متن کاملStrategy, Management Accounting Systems, and Performance of Iranian Petrochemical Companies in the Light of Contingency Theory
In the present business atmosphere, an organization should be able to respond to environmental needs occasioned by rapid and dynamic evolution as quickly as possible. It is obvious that such ability is impossible without a proper strategic approach, strategic thinking, and a suitable management accounting system. This study attempts to investigate the relationships between strategy, management ...
متن کاملمعماری پیشنهادی مبتنی بر اینترنت اشیاء و سیستم های توصیه گر برای هوشمند سازی شهر تهران
Today, the need in many cities are complex and therefore require smart cities. The complexity on the one hand, mainly because a lot of communication between various systems such as transport, communication networks, business systems, and on the other hand, citizens who are in contact with all of these systems, is . The synchronization process fast cities with innovative technology, quickly and ...
متن کامل