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DATA WAREHOUSING
Subject area: Science,Engineering and Technology · Area of research: Computer Engineering
Abstract
The term "Data Warehouse" was first coined by Bill Inmon in 1990. According to Inmon, a data warehouse is a subject oriented, integrated, time-variant, and non-volatile collection of data. A data warehouses provides us generalized and consolidated data in multidimensional view. Along with generalized and consolidated view of data, a data warehouses also provides us Online Analytical Processing (OLAP) tools. These tools help us in interactive and effective analysis of data in a multidimensional space. This analysis results in data generalization and data mining.
Keywords
data warehouse, data minig, OLAP
References
[1] “Data Mining: Concepts and Techniques” by Han
[2] “Data Warehousing” by Reema Thareja
[3] “Data Warehousing and Data Mining” by Singh M
[4] “Data Mining and Warehousing” by S Prabhu
[5] “Data Mining and Warehousing” by Khushboo and Sandeep
[6] “Introducing Data Science: Big Data, Machine Learning, and more, using Python tools” by Davy Cielen and Arno Meysman
[7] “Data Warehousing: OLAP and Data Mining” by Nagabhushana S
[8] “Data Mining and Warehousing” by M Sudheep Elayidom
[9] “Python for Data Science for Dummies” by John Paul Mueller and Luca Massaron
[10] “The Encyclopedia of Data Warehousing and Mining” by John Wang
How to cite this paper
@article{1700749,
author = { Sunil Bijaraniya, Nitesh Kumar Jangir},
title = { DATA WAREHOUSING},
journal = {Iconic Research And Engineering Journals},
year = {2018},
volume = {2},
number = {3},
pages = {47-50},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1700749.pdf},
abstract = {The term "Data Warehouse" was first coined by Bill Inmon in 1990. According to Inmon, a data warehouse is a subject oriented, integrated, time-variant, and non-volatile collection of data. A data warehouses provides us generalized and consolidated data in multidimensional view. Along with generalized and consolidated view of data, a data warehouses also provides us Online Analytical Processing (OLAP) tools. These tools help us in interactive and effective analysis of data in a multidimensional space. This analysis results in data generalization and data mining.},
keywords = {data warehouse, data minig, OLAP},
month = {September},
}