An overview of data warehousing and OLAP technology
ACM SIGMOD Record
Data Mining with SQL Server 2005
Data Mining with SQL Server 2005
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Decision Support and Business Intelligence Systems (8th Edition)
Decision Support and Business Intelligence Systems (8th Edition)
A multidimensional data model and OLAP analysis for agricultural production
MCBE'09 Proceedings of the 10th WSEAS international conference on Mathematics and computers in business and economics
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The paper describes the construction of a multidimensional data model intended for the analysis of soil physical properties. The data from the model are provided by two agricultural soil/land databases. Based on the multidimensional data model we build an OLAP cube called AGRISOL_FIZ. The "cube" accepts queries on several dimensions and hierarchies, including land uses, soil types, soil textures, counties, micro-zones, physical geographical units and relief forms. Note that OLAP is a flexible tool that is suitable for complicated analyses of multidimensio nal data. The analyses are done in a screen -efficient way. We give two examples with OLAP operations on the cube AGRISOL_Fiz.