Research of Cleaning and Quality Control of Data in Investment Research System of Fund Management Company

Article Preview

Abstract:

The consistency of the meaning of data in data warehouse is a key factor that affects the applications based on the data warehouse. In this paper, a system of cleaning and quality control of data in investment research system was built after investigating the estimation system, TA and other business systems of fund management company and analyzing the requirement of users. The system consists of an ETL program, and other products such as oracle, oracle stored procedures. This design approach can meet business requirements, ensure system scalability, simplify the complexity of the development of ETL program and improve the maintainability of the system. The method used in this paper has a high reference value for design and development of application systems that had the same characteristics.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

743-746

Citation:

Online since:

October 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] E. Malinowski and E. Zimányi. Hierarchies in a multidimensional model: From conceptual modeling to logical representation. Data & Knowledge Engineering, 2006, In press.

DOI: 10.1016/j.datak.2005.08.003

Google Scholar

[2] S. Jajodia and D. Wijesekera. Securing OLAP data cubes against privacy breaches. In Proc. IEEE Symp. On Security and Privacy, 2004, pp.161-178.

DOI: 10.1109/secpri.2004.1301322

Google Scholar

[3] S. Luján-Mora, J. Trujillo, and I. Song. A UML profile for multidimensional modeling in data warehouses. In Data & Knowledge Engineering, 2006, In press.

DOI: 10.1016/j.datak.2005.11.004

Google Scholar

[4] G. Shankaranarayanan and Y. Cai. Supporting data quality management in decision-making. Decision Support Systems, 2006, In press.

DOI: 10.1016/j.dss.2004.12.006

Google Scholar

[5] J. Zubcoff and J. Trujillo. Extending the UML for designing association rule mining models for data warehouses. In Proc. DaWaK, 2005, pp.11-21.

DOI: 10.1007/11546849_2

Google Scholar

[6] Y. Sismanis and N. Roussopoulos. The complexity of fully materialized coalesced cubes. In Proc. VLDB, 2004, pp.540-551.

DOI: 10.1016/b978-012088469-8.50049-8

Google Scholar

[7] S. Rizzi et al. Towards a logical model for patterns. In Proc. ER, 2003, pp.77-90.

Google Scholar

[8] Marotta, F. Piedrabuena, and A. Abelló. Managing quality properties in a ROLAP environment. In Proc. CAiSE, 2006, pp.127-141.

DOI: 10.1007/11767138_10

Google Scholar

[9] E. Malinowski and E. Zimányi. Hierarchies in a multidimensional model: From conceptual modeling to logical representation. Data & Knowledge Engineering, 2006, In press.

DOI: 10.1016/j.datak.2005.08.003

Google Scholar

[10] Panos Vassiliadis , Alkis Simitsis , Panos Georgantas , Manolis Terrovitis , Spiros Skiadopoulos, A generic and customizable framework for the design of ETL scenarios, Information Systems, v. 30 n. 7, 2005, pp.492-525.

DOI: 10.1016/j.is.2004.11.002

Google Scholar