Current Volume 10
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
Citations
IRE Journals:
Sunil Bijaraniya, Nitesh Kumar Jangir " DATA WAREHOUSING" Iconic Research And Engineering Journals Volume 2 Issue 3 2018 Page 47-50
IEEE:
Sunil Bijaraniya, Nitesh Kumar Jangir
" DATA WAREHOUSING" Iconic Research And Engineering Journals, vol. 2, no. 3, Sep. 2018
APA:
Sunil Bijaraniya, Nitesh Kumar Jangir
(2018). DATA WAREHOUSING. Iconic Research And Engineering Journals, 2(3).
MLA:
Sunil Bijaraniya, Nitesh Kumar Jangir
" DATA WAREHOUSING" Iconic Research And Engineering Journals, vol. 2, no. 3, Sep. 2018.
BibTeX
@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}
}
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