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Data Ingestion for the Connected World

Summary: Positions traditional batch ETL as the bottleneck for timely analytics in connected/IoT settings and advocates a push-based streaming-ETL architecture to ensure scalable, correct ingestion. Implements this with Kafka + transactional S-Store + BigDAWG and a new ingestion-optimized time-series DB. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
290
Venue
CIDR
Year
2017
Pagerank
5.1991194e-05
Overall Rank
6,123 | 57.41%
DOI
-

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