Spatial Data Warehousing for Integrated Urban Data Management
T. Swarnalatha1, T. Anuja2, B. V. Ramana Reddy3, Ch. Rami Reddy4
1T. Swarnalatha, Department of Computer Science and Engineering, Nalanda Institute of Engineering and Technology, Guntur, India.
2T. Anuja, Department of Computer Science and Engineering, Nalanda Institute of Engineering and Technology, Guntur, India.
3B. V. Ramana Reddy, Department of Computer Science and Engineering, Nalanda Institute of Engineering and Technology, Guntur, India.
4Ch. Rami Reddy, Department of Electrical and Electronics Engineering, Nalanda Institute of Engineering and Technology, Guntur, India.
Manuscript received on 12 March 2019 | Revised Manuscript received on 18 March 2019 | Manuscript published on 30 July 2019 | PP: 5088-5093 | Volume-8 Issue-2, July 2019 | Retrieval Number: B2269078219/19©BEIESP | DOI: 10.35940/ijrte.B2269.078219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this paper different special data management schemes pointing urban data environment are reviewed. The approach and the theory of Spatial Data Warehousing (SDW) pointing the urban data atmosphere is briefly discussed. Nature and architecture SDW are characterized. The use of SDW with the use of decision making is developed and analyzed for urban data environment. A three- tiered architecture for the SDW is proposed. The issues and solutions related to the designing of the SDW is addressed.
Keywords: Data mining, Spacial Data Warehousing, Data Management.
Scope of the Article: Data Management