Open AccessTesting of Extract Load and Transform ETL in Assorted Dimensions and Perspectives
Author(s) -
Nanasaheb Mahadev Halgare
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.b2607.129219
Subject(s) - data warehouse , computer science , field (mathematics) , data mining , data extraction , database , information retrieval , mathematics , medline , political science , pure mathematics , law
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.