Testing of Extract Load and Transform (ETL) in Assorted Dimensions and Perspectives
Nanasaheb Mahadev Halgare
Dr. Nanasaheb M.Halgare, Department of Information Technology, M. S. Bidve Engineering College Latur (Maharashtra), India.
Manuscript received on November 25, 2019. | Revised Manuscript received on December 15, 2019. | Manuscript published on December 30, 2019. | PP: 1876-1879 | Volume-9 Issue-2, December, 2019. | Retrieval Number: B2607129219/2019©BEIESP | DOI: 10.35940/ijeat.B2607.129219
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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 day today technical field, we are working on data science. It is the field that increasing rapidly, data science is similar to data mining but if we need to perform data mining then it is necessary to have data warehouse .And if we are interested to create data warehouse then we need to perform Extract Load and Testing (ETL).ETL implies Extraction of data from various sources, Transform that extracted data into proper format and finally load the data into data house. The integration of data science with the ETL is quite prominent and required so that the higher degree of performance can be attained. In addition, the performance elevation is very important to have the testing with more accuracy.
Keywords: Extract Load Testing, ETL testing, Test case, Bugs.etc