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1700749PublishedVol 2 · Issue 3

DATA WAREHOUSING

Sunil Bijaraniya Nitesh Kumar Jangir

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

How to cite this paper

Sunil Bijaraniya, Nitesh Kumar Jangir " DATA WAREHOUSING" Iconic Research And Engineering Journals Volume 2 Issue 3 2018 Page 47-50
Sunil Bijaraniya, Nitesh Kumar Jangir " DATA WAREHOUSING" Iconic Research And Engineering Journals, vol. 2, no. 3, Oct. 2018
Sunil Bijaraniya, Nitesh Kumar Jangir (2018). DATA WAREHOUSING. Iconic Research And Engineering Journals, 2(3).
Sunil Bijaraniya, Nitesh Kumar Jangir " DATA WAREHOUSING" Iconic Research And Engineering Journals, vol. 2, no. 3, Oct. 2018.
@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},
  }