Open AccessDesign and Development of Data Warehouse Framework of Highland Vegetable Crops for Benguet
Author(s) -
A R Quitaleg,
Miguel Ortiz
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/803/1/012035
Subject(s) - data warehouse , agriculture , big data , production (economics) , business , agricultural productivity , computer science , data science , database , geography , economics , data mining , macroeconomics , archaeology
The data warehousing technology has been widely used in organizations providing management, data integration and helps do the decision-making. Data warehouse offers an effective way for analysis and statistics to the big data in agriculture. Agriculture is one of the major issues in the Philippines and needs technological advancement. There is an increasing need for farmers and decisions makers in processing agricultural data. Agricultural datasets are diversified, non-standard and very large. It captures information about crops, farmers, buyers and other factors and requirements pertaining to the agricultural production. Designing a data warehouse for agricultural data is a great challenge for the researchers. The data warehousing technology has been widely used in organizations providing management, data integration and helps do the decision-making. Data warehouse offers an effective way for analysis and statistics to the big data in agriculture. Agriculture is one of the major issues in the Philippines and needs technological advancement. There is an increasing need for farmers and decisions makers in processing agricultural data. Agricultural datasets are diversified, non-standard and very large. It captures information about crops, farmers, buyers and other factors and requirements pertaining to the agricultural production. Designing a data warehouse for agricultural data is a great challenge for the researchers.