Document versioning for MongoDB
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Publication date
2022
Typ of student thesis
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Collections
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04B - Conference paper
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Parent work
New trends in database and information systems. ADBIS 2022 Short Papers, Doctoral Consortium and Workshops: DOING, K-GALS, MADEISD, MegaData, SWODCH, Turin, Italy, September 5–8, 2022, Proceedings
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Pages / Duration
512–524
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Publisher / Publishing institution
Springer
Place of publication / Event location
Cham
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Abstract
Data versioning is required in various business and science contexts, including governance, risk and compliance (GRC) and is essential for security audits, legal compliance and business strategy development. We present a data versioning library for MongoDB to support an innovative enterprise resource planning (ERP) system for small and medium enterprises (SMEs) which aims to be flexible and adapt to changing business needs. We exploit the fact that the volume of archival data is orders of magnitude larger than of the currently valid documents and that historic data is rarely accessed. Experiments with eight sets of 1 million mutations/queries on 100K of valid documents (average size 2.3 kB), carried out over a period of 60 h on a local PC show stable average versioning write/read operation performance per document in the range of 12.3/1.2 ms which proves that the solution is viable in an SME scenario.
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Subject (DDC)
Event
26th European Conference on Advances in Databases and Information Systems (ADBIS 2022)
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Exhibition end date
Conference start date
05.09.2022
Conference end date
08.09.2022
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ISBN
978-3-031-15742-4
978-3-031-15743-1
978-3-031-15743-1
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Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
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Peer review of the complete publication
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Closed
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Citation
Espona, L., & Pustulka, E. (2022). Document versioning for MongoDB. In S. Chiusano, T. Cerquitelli, R. Wrembel, K. Nørvåg, B. Catania, G. Vargas-Solar, & E. Zumpano (Eds.), New trends in database and information systems. ADBIS 2022 Short Papers, Doctoral Consortium and Workshops: DOING, K-GALS, MADEISD, MegaData, SWODCH, Turin, Italy, September 5–8, 2022, Proceedings (pp. 512–524). Springer. https://doi.org/10.1007/978-3-031-15743-1_47