• Dushyant Singh

Data warehousing is a set of decision-making tools designed to help knowledge workers (executives, managers, and analysts) make better and faster decisions. Many commercial products and services are now available, and all of the major database management system vendors offer these services. Multidimensional modeling necessitates the use of specialized design methods. Despite the fact that much has been written about how to design a data warehouse, there is still no consensus on a design method. This paper is based on a broad discussion held in Dagstuhl during the Perspectives Workshop "Data Warehousing at the Crossroads," and it aims to outline some open issues in data warehouse modeling and design. Issues such as conceptual models, logical models, design methods, interoperability, and design for new architectures and applications are all taken into consideration.

Data Warehouse, Design, Multidimensional Modeling, OLAP.

"An Overview on the Design and Modeling of Data Warehouse", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.70-73, March-2019, Available :http://www.jetir.org/papers/JETIRFJ06016.pdf

"An Overview on the Design and Modeling of Data Warehouse", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp70-73, March-2019, Available at : http://www.jetir.org/papers/JETIRFJ06016.pdf