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Acceptability is demonstrated through simulation and the utility is evaluated using a real application environment (RAE). This provides credibility and rigour to the research in the DSR paradigm. The artefact is evaluated for acceptability and utility. The artefact evolves through multiple design cycles into a final product that analyses document data stores in terms of relational database model constructs. The artefact is designed and developed using the descriptive knowledge of structured and unstructured data stores, combined with prescriptive knowledge of algorithms, pseudocode, continuous design and object-oriented design. An objective is formulated for the development of the artefact and suggestions are made to address the problem domain, assisting the artefact’s objective.
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A representative from NFM (the RAE) is interviewed for a situation analysis providing a specific problem statement. The reviewed literature provided a general problem statement. The problem domain is derived from the existing literature and a real application environment (RAE).
#OVERVIEW OF DATABASE MANAGEMENT SYSTEM PDF SERIES#
The artefact is developed using a series of six activities derived from two DSR approaches. The literature review formulates the descriptive and prescriptive knowledge used in the development of the artefact. This study explores the existing literature on DSR, in addition to structured and unstructured data stores. Design science research (DSR) is the methodology implemented in the study and it is used to assist in the understanding, design and development of the problem, artefact and solution. This study describes the development of an artefact to aid in the analysis of NoSQL document data stores in terms of relational database model constructs. A new technology has recently emerged which stores unstructured data and can handle the ‘Big Data’ phenomenon. Although dominating, structured data stores lack the functionality to handle the ‘Big Data’ phenomenon. Structured data stores have been the dominating technologies for the past few decades. This course examines information about database system architecture, the system catalog, query processing and optimization, transaction processing concepts, concurrency control techniques, database recovery techniques, database security and authorization, object-Oriented and object-relational databases, distributed databases and client server architecture, Data Warehousing and Data Mining, and emerging technologies and applications This advanced module, in contrast, deals with implementation aspects of relational systems as well as to the internal structure and performance issues related to DBMS and tests the candidates‟ knowledge of the current enhancements to relational database systems, object oriented database,datamining, data warehousing etc. These introductory units tend to concentrate on the use of relational database systems. Units introducing database concepts are now an accepted part of most computer science courses. Database management systems are standard tools that enable the storage and retrieval of data within modern information systems.