Guildlines of Data Quality Issues for Data Integration in the Context of the TPC-DI Benchmark

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F17%3A00096406" target="_blank" >RIV/00216224:14330/17:00096406 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.5220/0006334301350144" target="_blank" >http://dx.doi.org/10.5220/0006334301350144</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5220/0006334301350144" target="_blank" >10.5220/0006334301350144</a>

Result language

angličtina

Original language name

Guildlines of Data Quality Issues for Data Integration in the Context of the TPC-DI Benchmark

Original language description

Nowadays, many business intelligence or master data management initiatives are based on regular data integration, since data integration intends to extract and combine a variety of data sources, it is thus considered as a prerequisite for data analytics and management. More recently, TPC-DI is proposed as an industry benchmark for data integration. It is designed to benchmark the data integration and serve as a standardisation to evaluate the ETL performance. There are a variety of data quality problems such as multi-meaning attributes and inconsistent data schemas in source data, which will not only cause problems for the data integration process but also affect further data mining or data analytics. This paper has summarised typical data quality problems in the data integration and adapted the traditional data quality dimensions to classify those data quality problems. We found that data completeness, timeliness and consistency are critical for data quality management in data integration, and data consistency should be further defined in the pragmatic level. In order to prevent typical data quality problems and proactively manage data quality in ETL, we proposed a set of practical guidelines for researchers and practitioners to conduct data quality management in data integration.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2017

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the 19th International Conference on Enterprise Information Systems

ISBN

9789897582479

ISSN

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e-ISSN

—

Number of pages

10

Pages from-to

135-144

Publisher name

SciTePress

Place of publication

Porto, Portugal

Event location

Porto, Portugal

Event date

Jan 1, 2017

Type of event by nationality

CST - Celostátní akce

UT code for WoS article

000697605900013