Abstract
‘Consistency’ is an ‘inconsistency’ are ubiquitous term in data engineering. Its relevance to quality is obvious, since ‘consistency’ is a commonplace dimension of data quality. However, connotations are vague or ambiguous. In this paper, we address semantic consistency, transaction consistency, replication consistency, eventual consistency and the new notion of partial consistency in databases. We characterize their distinguishing properties, and also address their differences, interactions and interdependencies. Partial consistency is an entry door to living with inconsistency, which is an ineludible necessity in the age of big data.
H. Decker and F.D. Muñoz—supported by the Spanish MINECO grant TIN 2012-37719-C03-01.
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Decker, H., Muñoz-Escoí, F.D., Misra, S. (2015). Data Consistency: Toward a Terminological Clarification. In: Gervasi, O., et al. Computational Science and Its Applications -- ICCSA 2015. ICCSA 2015. Lecture Notes in Computer Science(), vol 9159. Springer, Cham. https://doi.org/10.1007/978-3-319-21413-9_15
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