Significance of Metadata and Data Modeling of Metadata by using Mark Logic
K. Lakshmi Prasanna1, Jangala. Sasi Kiran2, K Sreerama Murthy3
1K Lakshmi Prasanna, Department of Computer Science and Engineering, Farah Institute of Technology, Chevella, R.R. Dt. (Telangana), India.
2Jangala. Sasi Kiran, Department of Computer Science and Engineering Farah Institute of Technology, Chevella, R.R. Dt. (Telangana), India.
3K Sreerama Murthy, Department of Information Technology Sreenidhi institute of science and technology, Yamnampet, Medchal Dt. (Telangana), India.
Manuscript received on 18 December 2018 | Revised Manuscript received on 27 December 2018 | Manuscript published on 30 December 2018 | PP: 76-78 | Volume-8 Issue-2, December 2018 | Retrieval Number: B5567128218/18©BEIESP
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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: Metadata means data about data which illustrates, traces, and is simple to locate a resource. Metadata has been impacting almost every firm. It has become mandatory for organizations to know the data flow across business processes to take strategic decisions. But, collecting metadata across departments/business processes and putting into a commonality is very difficult by using conventional databases. We need to concentrate on the metadata managing technologies. There are data models that are designed which work on NOSQL database. Envelope pattern in Marklogic provide commonality for the metadata across processes. The data that is gathered across different processes need to be managed in a consistent way. We want to verify metadata management in banking domain. In this paper, we have ingested metadata across multiple departments in banking domain and verified the performance of search results.
Keywords: Metadata; Data Modeling; Mark Logic; Envelope Pattern
Scope of the Article: Pattern Recognition