Results 281 to 290 of about 5,645,319 (318)
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2018
The research proposes a new approach to data quality management presenting three groups of DSL (Domain Specific Language). The first language group uses concept of data object in order to describe data to be analysed, the second group describes the requirements on data quality, and the third group describes data quality management process. The proposed
Zane Bicevska +2 more
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The research proposes a new approach to data quality management presenting three groups of DSL (Domain Specific Language). The first language group uses concept of data object in order to describe data to be analysed, the second group describes the requirements on data quality, and the third group describes data quality management process. The proposed
Zane Bicevska +2 more
openaire +1 more source
Data quality issues in big data
2015 IEEE International Conference on Big Data (Big Data), 2015Though the issues of data quality trace back their origin to the early days of computing, the recent emergence of Big Data has added more dimensions. Furthermore, given the range of Big Data applications, potential consequences of bad data quality can be for more disastrous and widespread. This paper provides a perspective on data quality issues in the
Dhana Rao +2 more
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Data Quality in a Big Data Context
2018In each of the phases of a Big Data analysis process, data quality (DQ) plays a key role. Given the particular characteristics of the data at hand, the traditional DQ methods used for relational databases, based on quality dimensions and metrics, must be adapted and extended, in order to capture the new characteristics that Big Data introduces.
Franco Arolfo, Alejandro A. Vaisman
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Developing a data quality scorecard that measures data quality in a data warehouse.
2018The main purpose of this thesis is to develop a data quality scorecard (DQS) that aligns the data quality needs of the Data warehouse stakeholder group with selected data quality dimensions. To comprehend the research domain, a general and systematic literature review (SLR) was carried out, after which the research scope was established.
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Data Quality Issues in Data Migration
2015The main criterion of a successful data migration project is the data quality. Quality of data can be compromised depending upon how the data are received, integrated, maintained, processed and loaded. The data migration project requires the data to be extracted from multiple sources before being cleansed and transformed. Once the data are cleansed and
Nurhidayah Muhamad Zahari +3 more
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Time to add screening for financial hardship as a quality measure?
Ca-A Cancer Journal for Clinicians, 2021Cathy J Bradley +2 more
exaly
2017
This entry presents a definition of data and their quality dimensions as the basis for a survey of data quality management and improvement techniques, with special attention to data published on the Internet. Over the past several years several factors have contributed to making improved data quality an urgent priority.
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This entry presents a definition of data and their quality dimensions as the basis for a survey of data quality management and improvement techniques, with special attention to data published on the Internet. Over the past several years several factors have contributed to making improved data quality an urgent priority.
openaire +1 more source