Spatial Data Warehousing for Integrated Urban Data Management | Zendy

T. Swarnalatha | Zendy; T. Anuja | Zendy; B.V. Ramana Reddy | Zendy; Ch. Rami Reddy | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Spatial Data Warehousing for Integrated Urban Data Management

Author(s) -

T. Swarnalatha,

T. Anuja,

B.V. Ramana Reddy,

Ch. Rami Reddy

Publication year - 2019

Publication title -

international journal of recent technology and engineering (ijrte)

Language(s) - English

Resource type - Journals

ISSN - 2277-3878

DOI - 10.35940/ijrte.b2269.078219

Subject(s) - architecture , data warehouse , spatial analysis , computer science , data management , atmosphere (unit) , data science , geography , data mining , remote sensing , meteorology , archaeology

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

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research