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Keeping NoSQL Databases Up to Date - Semantics of Evolution Operations and their Impact on Data Quality
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.
Veröffentlichungsdatum dieses Volltextes: 02 Sep 2025 05:52
Konferenz- oder Workshop-Beitrag
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.
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Details
| Dokumentenart | Konferenz- oder Workshop-Beitrag (Paper) |
| Buchtitel: | LWDA 2019 Lernen, Wissen, Daten, Analysen 2019 |
|---|---|
| Verlag: | CEUR-WS.org |
| Sonstige Reihe: | CEUR Workshop Proceedings |
| Band: | 2454 |
| Seitenbereich: | S. 25-37 |
| Datum | 2019 |
| Institutionen | Informatik und Data Science > Allgemeine Informatik > Data Engineering (Prof. Dr.-Ing. Meike Klettke) |
| Projekte |
Gefördert von:
Deutsche Forschungsgemeinschaft (DFG)
(385808805)
|
| Stichwörter / Keywords | NoSQL Schema Evolution · Schema Evolution Operation · Data Heterogeneity Classes · Data Quality |
| Dewey-Dezimal-Klassifikation | 000 Informatik, Informationswissenschaft, allgemeine Werke > 004 Informatik |
| Status | Veröffentlicht |
| Begutachtet | Ja, diese Version wurde begutachtet |
| An der Universität Regensburg entstanden | Nein |
| URN der UB Regensburg | urn:nbn:de:bvb:355-epub-773000 |
| Dokumenten-ID | 77300 |
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