Hybrid Data Warehouse Development Method

Authors

  • Pooja D. Kavishwar  Department of Computer Science, Shivaji Science College, Congress Nagar, Nagpur, Maharashtra, India
  • Dr. S. R. Pande  Department of Computer Science, Shivaji Science College, Congress Nagar, Nagpur, Maharashtra, India

DOI:

https://doi.org/10.32628/CSEIT21752

Keywords:

Data Warehouse, Data Warehouse Methodology, Hybrid multi-dimensional Data model.

Abstract

Building a data warehouse is a new discipline and has no concrete strategy for its development process. Currently there are three development approaches for building a data warehouse: Data driven. Goal-driven and User-driven. These development approaches are compared on the basis of certain parameters and by this comparison a new Hybrid multidimensional development methodology has been evolved. This Hybrid multi-dimensional Data model is a combination of Data driven methodology with Business driven which is Goal- driven methodology. We have stated in this paper that this model starts by collecting Business requirements and deriving Fact and Dimension tables along with its multiple constraints which defines their relations. After which a logical structure of the model can be built. Which in turn could be developed into a physical model and can be populated by data for Mining and Analysing. This new multidimensional model can be compared on the same parameters which were used to compare the stated three methodologies and thus we can come up with enhanced features.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2021-10-30

Issue

Volume 7, Issue 5, September-October-2021

Section

Research Articles

License

Copyright (c) IJSRCSEIT

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Pooja D. Kavishwar, Dr. S. R. Pande, " Hybrid Data Warehouse Development Method" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 7, Issue 5, pp.09-15, September-October-2021. Available at doi : https://doi.org/10.32628/CSEIT21752