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@inbook{1421614,
author = {Yang, Qishan and Ge, Mouzhi and Helfert, Markus},
address = {Germany},
booktitle = {Enterprise Information Systems},
doi = {http://dx.doi.org/10.1007/978-3-319-93375-7_4},
keywords = {Data quality;Data integration;TPC-DI Benchmark;ETL},
howpublished = {elektronická verze "online"},
language = {eng},
location = {Germany},
isbn = {978-3-319-93374-0},
pages = {57-73},
publisher = {Springer Lecture Notes in Business Information Processing},
title = {Data Quality Problems in TPC-DI Based Data Integration Processes},
year = {2018}
}
TY - CHAP
ID - 1421614
AU - Yang, Qishan - Ge, Mouzhi - Helfert, Markus
PY - 2018
TI - Data Quality Problems in TPC-DI Based Data Integration Processes
VL - 321
PB - Springer Lecture Notes in Business Information Processing
CY - Germany
SN - 9783319933740
KW - Data quality;Data integration;TPC-DI Benchmark;ETL
N2 - Many data driven organisations need to integrate data from multiple, distributed and heterogeneous resources for advanced data analysis. A data integration system is an essential component to collect data into a data warehouse or other data analytics systems. There are various alternatives of data integration systems which are created inhouse or provided by vendors. Hence, it is necessary for an organisation to compare and benchmark them when choosing a suitable one to meet its requirements. Recently, the TPC-DI is proposed as the first industrial benchmark for evaluating data integration systems. When using this benchmark, we find some typical data quality problems in the TPC-DI data source such as multi-meaning attributes and inconsistent data schemas, which could delay or even fail the data integration process. This paper explains processes of this benchmark and summarises typical data quality problems identified in the TPC-DI data source. Furthermore, in order to prevent data quality problems and proactively manage data quality, we propose a set of practical guidelines for researchers and practitioners to conduct data quality management when using the TPC-DI benchmark.
ER -
YANG, Qishan, Mouzhi GE a Markus HELFERT. Data Quality Problems in TPC-DI Based Data Integration Processes. In \textit{Enterprise Information Systems}. Germany: Springer Lecture Notes in Business Information Processing. s.~57-73. 321. ISBN~978-3-319-93374-0. doi:10.1007/978-3-319-93375-7\_{}4. 2018.
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