Graph Database Complexity
The discussion highlights the intricate nature of graph workloads, which are becoming increasingly complex due to the emergence of graph neural networks and the need for standardization. As new systems are developed from scratch to accommodate these evolving demands, the lack of established standards has led to a diverse landscape of graph database designs. This complexity poses challenges for existing systems that were optimized for specific workloads, making innovation a daunting task.In this clip
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Data Skeptic
Graphs for HPC and LLMs
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