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Transformations on Graph Databases for Polyglot Persistence with NotaQL

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Datum
2017
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Datenbanksysteme für Business, Technologie und Web (BTW 2017)
Big Data and NoSQL
Verlag
Gesellschaft für Informatik, Bonn
Zusammenfassung
Polyglot-persistence applications use a combination of many di erent data stores. Often, one of them is a graph database to model relationships between data items. The data-transformation language NotaQL can be used to define transformations from one NoSQL database to a di erent one. In this paper, we present a language extension for NotaQL to allow graph transformations, graph analysis, and data migrations on graph databases. NotaQL is schema-flexible, it o ers filters and aggregation functions, and it allows for graph traversal and edge creation. Our graph-transformation platform can be used for iterative graph algorithms and bulk processing.
Beschreibung
Schildgen, Johannes; Krück, Yannick; Deßloch, Stefan (2017): Transformations on Graph Databases for Polyglot Persistence with NotaQL. Datenbanksysteme für Business, Technologie und Web (BTW 2017). Gesellschaft für Informatik, Bonn. PISSN: 1617-5468. ISBN: 978-3-88579-659-6. pp. 83-102. Big Data and NoSQL. Stuttgart. 6.-10. März 2017
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