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2018 | OriginalPaper | Chapter

Data Quality Evaluation in Document Oriented Data Stores

Authors : Emilio Cristalli, Flavia Serra, Adriana Marotta

Published in: Advances in Conceptual Modeling

Publisher: Springer International Publishing

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Abstract

Data quality management in document oriented data stores has not been deeply explored yet, presenting many challenges that arise because of the lack of a rigid schema associated to data. Data quality is a critical aspect in this kind of data stores, since its control is not possible and it is not a priority in the data storage stage. Additionally, data quality evaluation and improvement are also very difficult tasks due to the schema-less characteristic of data. This paper presents a first step towards data quality management in document oriented data stores. In order to address the problem, the paper proposes a strategy for defining data granularities for data quality evaluation and analyses some data quality dimensions relevant to document stores.

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Metadata
Title
Data Quality Evaluation in Document Oriented Data Stores
Authors
Emilio Cristalli
Flavia Serra
Adriana Marotta
Copyright Year
2018
DOI
https://doi.org/10.1007/978-3-030-01391-2_35

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