INROADS- An International Journal of Jaipur National University
  • Year: 2014
  • Volume: 3
  • Issue: 1s

The Future of Weather Data Warehouse: From Concept through Design

  • Author:
  • Harshal Gunwant
  • Total Page Count: 6
  • Page Number: 186 to 191

Assistant Professor (Computer Science), Prabhu Dhan Degree College, Bhorugram, Rajasthan, India. Email: harshal.gunwant@gmail.com

Online published on 11 March, 2014.

Abstract

Data warehouse is a new generation Decision Support System (DSS) tool [1]. Data warehouse technology has developed up to capacious data having their magnitude in terabytes range or elevated. Data is stored from different meteorological stations situated in Uttarakhand, analyzed or mined and kept in records for future references as well. The purpose of this project is to develop a conceptual model for data warehouse technology in the meteorological research area starting with Uttarakhand. Efficient data storage and manipulation is a prerequisite in the meteorological and climatology domain.

Since database technology in metrological field is widely used and can store complex structure of data, the type and quantity are continuously rising with the development of science and technology and the existing systems system can't satisfy the requirement and development. So we propose a performance oriented warehouse model prerequisite in the meteorological and climatology sphere.

Keywords

Data Warehousing, Data Mining, OLAP, Climatology, Meteorology, GIS, EWS (Early Warning System), AWS (Automated weather stations), Uttarakhand