Transformations on Graph Databases for Polyglot Persistence with NotaQL

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.
  • Vollständige Referenz
  • BibTeX
Schildgen, J., Krück, Y. & Deßloch, S., (2017). Transformations on Graph Databases for Polyglot Persistence with NotaQL. In: Mitschang, B., Nicklas, D., Leymann, F., Schöning, H., Herschel, M., Teubner, J., Härder, T., Kopp, O. & Wieland, M. (Hrsg.), Datenbanksysteme für Business, Technologie und Web (BTW 2017). Gesellschaft für Informatik, Bonn. (S. 83-102).
@inproceedings{mci/Schildgen2017,
author = {Schildgen, Johannes AND Krück, Yannick AND Deßloch, Stefan},
title = {Transformations on Graph Databases for Polyglot Persistence with NotaQL},
booktitle = {Datenbanksysteme für Business, Technologie und Web (BTW 2017)},
year = {2017},
editor = {Mitschang, Bernhard AND Nicklas, Daniela AND Leymann, Frank AND Schöning, Harald AND Herschel, Melanie AND Teubner, Jens AND Härder, Theo AND Kopp, Oliver AND Wieland, Matthias} ,
pages = { 83-102 },
publisher = {Gesellschaft für Informatik, Bonn},
address = {}
}
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Mehr Information

ISBN: 978-3-88579-659-6
ISSN: 1617-5468
Datum: 2017
Sprache: en (en)
Typ: Text/Conference Paper
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