Title: Data warehouse technology for agricultural policy data: a Greek case study

Authors: Michael T. Maliappis; Dimitris Kremmydas

Addresses: Laboratory of Informatics, Department of Agricultural Economics and Rural Development, Agricultural University of Athens, 75 Iera Odos, 11855 Athens, Greece ' Laboratory of Agribusiness Management, Department of Agricultural Economics and Rural Development, Agricultural University of Athens, 75 Iera Odos, 11855 Athens, Greece

Abstract: Statistical data for agricultural policy analysis has certain unique features: a multitude of sources of very different nature, a variety of dimensional granularity and different end user requirements. The utilisation of data warehouse (DW) technology is valuable for tackling the above issues and successfully offering data to policy stakeholders and modellers. In this paper, we briefly introduce the DW technology, discuss the DW design issues in the context of policy related data and investigate the several difficulties identified on building and using a DW for monitoring crop responses to climate change for two Greek regions.

Keywords: agricultural data; data warehouses; online analytical processing; OLAP; agricultural policy; Greece; case study; agriculture; crop monitoring; crop responses; climate change; data warehousing.

DOI: 10.1504/IJSAMI.2016.082002

International Journal of Sustainable Agricultural Management and Informatics, 2016 Vol.2 No.2/3/4, pp.243 - 262

Received: 18 May 2016
Accepted: 18 Oct 2016
Published online: 31 Jan 2017 *

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