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Role of Metadata in Data Warehousing for Effective Business Support


Affiliations
1 School of Engineering and Technology, Jaipur National University, Jaipur, India
2 Department of Computer Science and Electronics, Banasthali University, Rajasthan, India
 

Today large organizations are being served by different types of area processing and information systems. It is important to create an integrated repository of what these system contain and do it in order to use them collectively and effectively. The repository contains metadata of source systems effectively. The repository contains metadata of source systems data warehouse and also business data. Metadata, usually called data about data, is an important part. Metadata is supposed to be a helping hand to all co-workers in an organization that work directly or indirectly with the data warehouse. The main purpose of this paper is to determine through feedback from the business end user.


Keywords

Metadata, DSS, DW, ETL, OLAP.
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  • Role of Metadata in Data Warehousing for Effective Business Support

Abstract Views: 167  |  PDF Views: 2

Authors

Shiv Kumar Gupta
School of Engineering and Technology, Jaipur National University, Jaipur, India
Ritu Vijay
Department of Computer Science and Electronics, Banasthali University, Rajasthan, India

Abstract


Today large organizations are being served by different types of area processing and information systems. It is important to create an integrated repository of what these system contain and do it in order to use them collectively and effectively. The repository contains metadata of source systems effectively. The repository contains metadata of source systems data warehouse and also business data. Metadata, usually called data about data, is an important part. Metadata is supposed to be a helping hand to all co-workers in an organization that work directly or indirectly with the data warehouse. The main purpose of this paper is to determine through feedback from the business end user.


Keywords


Metadata, DSS, DW, ETL, OLAP.