Summary:

In this episode, Gábor Szárnyas takes us on a journey through the LDBC Social Network Benchmark's Business Intelligence workload (SNB BI). Developed through collaboration between academia and industry the SNB BI is a comprehensive graph OLAP benchmark. It pushes the boundaries of synthetic and scalable analytical database benchmarks, featuring a sophisticated data generator and a temporal graph with small-world phenomena. The benchmark's query workload, rooted in LDBC's innovative design methodology, aims to drive future technical advancements in graph database systems. Gabor highlights SNB BI's unique features, including the adoption of "parameter curation" for stable query runtimes across diverse parameters. Join us for a succinct yet insightful exploration of SNB BI, where Gábor Szárnyas unveils the intricacies shaping the forefront of analytical data systems and graph workloads.

Links:

• VLDB'23 Paper
• Gabor's Homepage
• LDBC Homepage
• LDBC GitHub

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