DocumentCode :
123317
Title :
Modeling ETL Process for Data Warehouse: An Exploratory Study
Author :
Sharma, Shantanu ; Jain, R.
Author_Institution :
IT Dept., Uttaranchal Univ., Dehradun, India
fYear :
2014
fDate :
8-9 Feb. 2014
Firstpage :
271
Lastpage :
276
Abstract :
The data warehouse facilitates knowledge workers in decision making process. A good DW design can actually reduce the report processing time but, it requires substantial efforts in ETL design and implementation. In this paper, the authors have focused on the working of Extraction, Transformation and Loading. The focus has also been laid on the data quality problem which in result leads to falsification of analysis based on that data. The authors have also analyzed and compared various ETL modeling processes. So this study would be substantially fruitful for understanding various approaches of ETL modeling in data warehousing.
Keywords :
data warehouses; decision making; DW design; ETL design; ETL process modeling; data quality problem; data warehouse; decision making process; extraction-transformation-loading process; knowledge workers; Data mining; Data models; Data warehouses; Load modeling; Loading; Object oriented modeling; Unified modeling language; Conceptual model; Extraction; Loading; Transformation; UML; mapping expression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computing & Communication Technologies (ACCT), 2014 Fourth International Conference on
Conference_Location :
Rohtak
Type :
conf
DOI :
10.1109/ACCT.2014.100
Filename :
6783463
Link To Document :
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