The data warehouse toolkit: practical techniques for building dimensional data warehouses
The data warehouse toolkit: practical techniques for building dimensional data warehouses
Improved query performance with variant indexes
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Measuring user satisfaction with data warehouses: an exploratory study
Information and Management
Automatically generating OLAP schemata from conceptual graphical models
Proceedings of the 3rd ACM international workshop on Data warehousing and OLAP
Data warehousing and decision support at the National Agricultural Statistics Service
Social Science Computer Review - Special issue on survey and statistical computing in the new millennium
Designing data marts for data warehouses
ACM Transactions on Software Engineering and Methodology (TOSEM)
A foundation for capturing and querying complex multidimensional data
Information Systems - Data warehousing
Data Warehousing in Action
Modern Database Management
What can Hierarchies do for Data Warehouses?
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Recent Advances and Research Problems in Data Warehousing
ER '98 Proceedings of the Workshops on Data Warehousing and Data Mining: Advances in Database Technologies
Oracle DBA Guide to Data Warehousing and Star Schemas
Oracle DBA Guide to Data Warehousing and Star Schemas
Building the Data Warehouse
Hierarchies in a multidimensional model: from conceptual modeling to logical representation
Data & Knowledge Engineering - Special issue: WIDM 2004
Dimensional issues in agricultural data warehouse designs
Computers and Electronics in Agriculture
A web-based ERP data mining system for decision making
International Journal of Computer Applications in Technology
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
Measuring data warehousing success: an empirical investigation applying the DeLone and McLean model
International Journal of Data Analysis Techniques and Strategies
Definition and analysis of new agricultural farm energetic indicators using spatial OLAP
ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part II
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Planners, researchers, development agencies and farmers require information on animal resources for further studies and evolving realistic strategies for improvement and rearing of livestock and poultry. Data is also required for keeping watch on prices and movement of animal products, animal feed and establishment of services such as veterinary hospitals, artificial insemination (AI) centers, meat and dairy industries, etc. Further, there is a need to study animal resources in relation to other aspects of agriculture, such as soils, vegetation, agro-meteorology, socio-economic, land use, water resources for overall development of agricultural production system. Indian Agricultural Statistics Research Institute (IASRI), New Delhi has designed and implemented a Central Data Warehouse (CDW) under a National Agricultural Technology Project (NATP) Mission Mode sub-project entitled ''Integrated National Agricultural Resources Information System (INARIS)''. In this CDW, 13 different data marts related to various subjects in agriculture were designed, implemented and integrated. In this article, attempt was made to discuss concepts and problems of dimensional modeling of the animal data mart in relation to available source data on livestock resources in the country. Alternative solutions to specific problems were also discussed along with the solution implemented for modeling of this data mart. The complete process of building On-line Analytical Processing (OLAP) system for research managers including inbuilt technique of data quality and consistency checks to be implemented is being described with special reference to animal resource management. This article will provide guidelines for design and development of similar complex data marts in agricultural sector, particularly in the field of livestock management.