Data warehouse technology for agricultural policy data: a Greek case study
Michael T. Maliappis, Dimitris Kremmydas · International Journal of Sustainable Agricultural Management and Informatics · 2016
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.