Best Practices in Using Semantic Transformation in Data Integration to Address Data Integrity Issues

Loading...
Thumbnail Image

Date

2019

Authors

Balijepalli, Saketh

Journal Title

Journal ISSN

Volume Title

Publisher

University of Oregon

Abstract

Data integration is a digital technology used to combine data from multiple sources and provide users with a unified view of data assets (Chen, Hu, & Xu, 2015; Davidovski, 2018). Data is typically loaded into a data warehouse via Execute-Transform-Load (ETL) operations (Hose et al. 2015); sometimes the transformed data lacks data integrity. This paper explores best practices in using semantic transformation to address data integrity issues caused by data integration.

Description

Keywords

Data integration, ETL, Syntactic transformation, Semantic transformation, Business intelligence, Data analytics, Semantic ETL, Data warehouse, Semantic information, Data integrity

Citation