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What is Data Warehouse (DW)

Chapter 34
Advanced Methodologies and Technologies in Business Operations and Management
A data warehouse is a repository of information collected from multiple sources, stored under a unified schema, and usually residing at a single site.
Published in Chapter:
Forecasting the Demand of Agricultural Crops/Commodity Using Business Intelligence Framework
Satyadhyan Chickerur (KLE Technological University, India), Supreeth Sharma (Akamai Technologies, India), and Prashant M. Narayankar (KLE Technological University, India)
Copyright: © 2019 |Pages: 18
DOI: 10.4018/978-1-5225-7362-3.ch034
Abstract
Information technology is playing a very important role in all the spheres of life, starting from healthcare to entertainment. The agricultural community is not far behind in utilizing information technology for increasing the efficiency and productivity of agriculture and allied activities. This chapter proposes how the concepts of BI (business intelligence), BI tools, data mining tools might be used for forecasting the agricultural demand of various crops reliably and more efficiently. The chapter clearly elaborates how BI tools could be used during various stages of ETL (extract, transform, and load) and how cleansed, quality data could be used by data mining tools for forecasting. Experiments are carried out for forecasting the demands for various agricultural crops by using the previous year's demand, and the results are encouraging. The experimental set up involved open source tools like Pentaho's Kettle and Weka.
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Chapter 1
Emerging Business Intelligence Technologies for SMEs
A data warehouse is a subject-oriented, integrated, time-variant and non-volatile collection of data in support of management’s decision making process. A data warehouse is a copy of transaction data specifically structured for query and analysis.
Published in Chapter: Emerging Business Intelligence Technologies for SMEs; From: Handbook of Research on Enterprise 2.0: Technological, Social, and Organizational Dimensions
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Chapter 44
An MDA Compliant Approach for Designing Secure Data Warehouses
A subject-oriented, integrated, time-variant, non-volatile collection of data in support of management’s decision-making process.
Published in Chapter: An MDA Compliant Approach for Designing Secure Data Warehouses; From: Handbook of Research on Information Security and Assurance
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Chapter 10
Database Engineering Supporting the Data Evolution
A subject-oriented, integrated, nonvolatile, time-variant collection of data in support of management’s decisions (Inmon, 2005).
Published in Chapter: Database Engineering Supporting the Data Evolution; From: Handbook of Research on Innovations in Database Technologies and Applications: Current and Future Trends
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Chapter 16
An Integrated Data Mining and Simulation Solution
Is a physical repository where relational data are specially organized to provide enterprise-wide, cleansed data in a standardized format (Turban, Aronson, Liang, and Sharda, 2007).
Published in Chapter: An Integrated Data Mining and Simulation Solution; From: Handbook of Research on Discrete Event Simulation Environments: Technologies and Applications
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Chapter 73
Forecasting the Demand of Agricultural Crops/Commodity Using Business Intelligence Framework
A data warehouse is a repository of information collected from multiple sources, stored under a unified schema, and usually residing at a single site.
Published in Chapter: Forecasting the Demand of Agricultural Crops/Commodity Using Business Intelligence Framework; From: Encyclopedia of Information Science and Technology, Fourth Edition
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Chapter 15
Business Intelligence, Knowledge Management, and Customer Relationship Management Technological Support in Enterprise Competitive Competence
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