Effective data warehouse for information delivery: A literature survey and classification

被引:6
作者
Dahiya, Naveen [1 ]
Bhatnagar, Vishal [2 ]
Singh, Manjeet [3 ]
机构
[1] Department of Computer Science and Engineering, Maharaja Surajmal Institute of Technology, New Delhi-110058, C-4, Janakpuri
[2] Department of Computer Science and Engineering, Ambedkar Institute of Advanced Communication Technology and Research, Delhi-110031, Geeta Colony
[3] Department of Computer Science and Engineering, YMCA University of Science and Technology, Faridabad, Haryana
关键词
Business solutions; Data warehouse; Strategic decisions;
D O I
10.1504/IJNVO.2013.056989
中图分类号
学科分类号
摘要
Data warehouse is playing an important role in strategic decision making process for complex business solutions. To gain competitive advantage, business executives are increasingly making use of data warehouse concepts as it plays a vital role in analysing, predicting future trends based on past and current scenarios. We as authors have surveyed the various techniques used in building of data warehouse and the methods used for the implementation of techniques. We have conducted an in-depth survey of existing literature from various known international journal papers to come up with a framework which will help the researchers to focus on specific and emerging areas in the field of data warehouse development as well as application of data warehouse in various business domains. Copyright © 2013 Inderscience Enterprises Ltd.
引用
收藏
页码:217 / 237
页数:20
相关论文
共 67 条
[41]  
Pabreja K., Datta K., A data warehousing and data mining approach for analysis and forecast of cloudburst events using OLAP-based data hypercube, International Journal of Data Analysis Techniques and Strategies, 4, 1, pp. 57-82, (2012)
[42]  
Pighin M., Ieronutti L., A statistical and syntactical approach to data warehouse design quality, Int. J. of Information Quality, 1, 4, pp. 368-391, (2007)
[43]  
Pooniah P., Data Warehousing Fundamentals, (2010)
[44]  
Rahman N., Harding J., Textual data mining for industrial knowledge management and text classification: A business oriented approach, Expert Systems with Applications: An International Journal, 39, 5, pp. 4729-4739, (2012)
[45]  
Ramamurthy K., Sen A., Sinha A., An empirical investigation of the key determinants of data warehouse adoption, Decision Support Systems, 44, 4, pp. 817-841, (2008)
[46]  
Ribeiro L., Goldschmidt R., Cavalcanti M., Complementing data in the ETL process, Proceedings of the 13th International Conference on Data Warehousing and Knowledge Discovery, pp. 112-123, (2011)
[47]  
Rifaie M., Kianmehr K., Alhajj R., Ridley M., Data modelling for effective data warehouse architecture and design, Int. J. of Information and Decision Sciences, 1, 3, pp. 282-300, (2009)
[48]  
Rjugan R., Chang E., Dillon T., Conceptual design of XML FACT repository for dispersed XML document warehouses and XML marts, 5th International Conference on CIT IEEE, pp. 141-149, (2005)
[49]  
Rodriguez A., Medina E., Piattini M., Security requirement with a UML 2.0 profile, 1st International Conference on ARES IEEE, pp. 1-8, (2006)
[50]  
Schlesinger L., Irmert F., Lehner W., Supporting the ETL-process by web service technologies, Int. J. of Web and Grid Services, 1, 1, pp. 31-47, (2005)