Importance and Quality Evaluation of Metadata
Arushi Jain1, Aakansha Bansal2, Palak Jain3, Neha Sharma4
1Arushi Jain, Department of Information Technology Northern India, Engineering College, New Delhi, India.
2Aakansha Bansal, Department of Information Technology Northern India, Engineering College, New Delhi, India.
3Palak Jain, Department of Information Technology Northern India, Engineering College, New Delhi, India.
4Neha Sharma, Department of Information Technology Northern India, Engineering College, New Delhi, India.
Manuscript received on November 21, 2013. | Revised Manuscript received on December 11, 2013. | Manuscript published on December 30, 2013. | PP: 245-249 | Volume-3, Issue-2, December 2013. | Retrieval Number: B2438123213/2013©BEIESP
Open Access | Ethics and Policies | Cite
© 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 usually called data about data represents information about data to be stored in a data warehouse. Importance of metadata arises from the fact that it is needed to map data from source systems to data warehouse with the help of Extraction Transformation Loading (ETL) tools. Metadata helps in developing consistency in data collection and usage and moreover provides the foundation for Data Change Management. It facilitates user to have faster and more accurate access to the data that is needed. Metadata also plays an important role in real world environment as seen in case of legal system nowadays that focuses on preservation of data about its records i.e. metadata so that the validity and admissibility of evidences can be ensured. This paper intends to find a better and more efficient way to determine the importance of metadata in the data warehouse and thus performs its quality evaluation.
Keywords: Consistency, Data Change Management, ETL, Metadata.