An early look at the LDBC social network benchmark's business intelligence workload

2018

Presented at the GRADES/NDA@SIGMOD/PODS 2018: Houston, TX, USA (January 2018), Houston, TX, USA

Additional Metadata
Persistent URL	doi.org/10.1145/3210259.3210268
Conference	GRADES/NDA@SIGMOD/PODS 2018: Houston, TX, USA
Organisation	Database Architectures
Citation APA APA Style APA-ALL Style AAA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Szárnyas, G., Prat-Pérez, A., Averbuch, A., Marton, J., Paradies, M., Kaufmann, M., Erling, O., Boncz, P., Haprian, V.& Antal, J. B. (2018, January). An early look at the LDBC social network benchmark's business intelligence workload. GRADES-NDA '18: Proceedings of the 1st ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA).https://doi.org/10.1145/3210259.3210268

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