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Liquid: Unifying Nearline and Offline Big Data Integration

Summary: Liquid replaces DFS-centric batch stacks with a unified nearline+offline integration architecture: a stateful stream-processing layer for incremental, low-latency transforms plus a highly-available pub/sub messaging layer. Deployed at LinkedIn, it provides cost-efficient, scalable pre-processing for real-time and batch consumers. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
268
Venue
CIDR
Year
2015
Pagerank
4.9060615e-05
Overall Rank
6,856 | 52.31%
DOI
-

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