This article introduces the feature storage platform developed by vivo and its evolvement.
Artificial Intelligence (AI) is widely used by vivo and feature data is a significant part of the AI practice. The feature data is used for offline training and online prediction. The vivo engineering team needs a reliable system to effectively store the feature data.
This is a companion discussion topic for the original entry at https://nebula-graph.io/posts/large-scale-feature-storage-with-nebula-graph-best-practices-vivo/
