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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
and 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.
Date of publication of this fulltext: 02 Sep 2025 05:52
Conference or workshop item
DOI to cite this document: 10.5283/epub.77300
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 ...
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
| Item type | Conference or workshop item (Paper) |
| Title of Book: | LWDA 2019 Lernen, Wissen, Daten, Analysen 2019 |
|---|---|
| Publisher: | CEUR-WS.org |
| Open Access Type: | CC-License |
| 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 |
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 |
| URN of the UB Regensburg | urn:nbn:de:bvb:355-epub-773000 |
| Item ID | 77300 |
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