Data Stream Warehousing in Tidalrace
Summary: Tidalrace: a next-generation data stream warehouse that continuously ingests high-rate streams, computes complex derived data products, and stores long-term histories for analytics. Architectural innovations unify stream processing, materialized views, and storage management to enable scalable, persistent historical analytics beyond traditional DSMS capabilities. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Theodore Johnson (AT&T)
- 2. Vladislav Shkapenyuk (AT&T)
BibTeX Citation
@inproceedings{johnson_cidr15,
address = {Amsterdam, Netherlands},
series = {{CIDR} '15},
title = {{Data Stream Warehousing in Tidalrace}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Johnson, Theodore and Shkapenyuk, Vladislav},
year = {2015}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,318 | Estimating Quantiles from the Union of Historical and Streaming Data | 2017 | VLDB | 5.289545e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 16 of 16 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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