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Möller, Mark Lukas ; Klettke, Meike ; Störl, Uta

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

Konferenz- oder Workshop-Beitrag

Möller, Mark Lukas, Klettke, Meike und Störl, Uta (2019) Keeping NoSQL Databases Up to Date - Semantics of Evolution Operations and their Impact on Data Quality. In: Lernen, Wissen, Daten, Analysen 2019, September 30 - October 2, 2019, Berlin, Germany.

DOI zum Zitieren dieses Dokuments: 10.5283/epub.77300


Zusammenfassung

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 ...

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 distinguishing different NoSQL HCs. One use-case of NoSQL evolution operations is improvement of actuality and completeness of data which is especially relevant in terms of the ever-expanding volume of data.



Beteiligte Einrichtungen


Details

DokumentenartKonferenz- oder Workshop-Beitrag (Paper)
Buchtitel:LWDA 2019 Lernen, Wissen, Daten, Analysen 2019
VerlagCEUR-WS.org
Open Access ArtCC-Lizenz
Sonstige Reihe:CEUR Workshop Proceedings
Band2454
SeitenbereichS. 25-37
Datum2019
Veröffentlichungsdatum02 Sep 2025 05:52
InstitutionenInformatik und Data Science > Allgemeine Informatik > Data Engineering (Prof. Dr.-Ing. Meike Klettke)
Projekte
Gefördert von: Deutsche Forschungsgemeinschaft (DFG) (385808805)
Stichwörter / KeywordsNoSQL Schema Evolution · Schema Evolution Operation · Data Heterogeneity Classes · Data Quality
Dewey-Dezimal-Klassifikation000 Informatik, Informationswissenschaft, allgemeine Werke > 004 Informatik
StatusVeröffentlicht
BegutachtetJa, diese Version wurde begutachtet
An der Universität Regensburg entstandenNein
URN der UB Regensburgurn:nbn:de:bvb:355-epub-773000
Dokumenten-ID77300

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