Keeping NoSQL Databases Up to Date - Semantics of Evolution Operations and their Impact on Data Quality - University of Regensburg Publication Server

URN to cite this document:: urn:nbn:de:bvb:355-epub-773000
DOI to cite this document:: 10.5283/epub.77300

Möller, Mark Lukas ; Klettke, Meike

; Störl, Uta

License: Creative Commons Attribution 4.0
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Date of publication of this fulltext: 02 Sep 2025 05:52

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Item type:	Conference or workshop item (Paper)
Open Access Type:	CC-License
Title of Book:	LWDA 2019 Lernen, Wissen, Daten, Analysen 2019
Publisher:	CEUR-WS.org
Other Series:	CEUR Workshop Proceedings
Volume:	2454
Page Range:	pp. 25-37
Date:	2019
Institutions:	Informatics and Data Science > General computer science > Data Engineering (Prof. Dr.-Ing. Meike Klettke)
Projects:	NoSQL-Schema-Evolution und skalierbare Big Data Datenmigration II Funded by: Deutsche Forschungsgemeinschaft (DFG) (385808805)
Keywords:	NoSQL Schema Evolution · Schema Evolution Operation · Data Heterogeneity Classes · Data Quality
Dewey Decimal Classification:	000 Computer science, information & general works > 004 Computer science
Status:	Published
Refereed:	Yes, this version has been refereed
Created at the University of Regensburg:	No
Item ID:	77300

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Abstract

Evolving a NoSQL database schema regularly involves migrating datasets into new schema versions. NoSQL databases store datasets in different heterogeneity levels (HCs) that can be characterized by their degree of regularity and cardinality of various entity types. In this article, we present the semantics of NoSQL evolution operations and their corresponding data migration operations while ...