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