Robust, Scalable, Real-Time Event Time Series Aggregation at Twitter
Summary: TSAR delivers robust, scalable real-time event time-series aggregation for Twitter engagement across facets. Built on Summingbird, it unifies batch and streaming processing and automates ingestion-to-publication, with dashboards and ad-hoc analytics. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Peilin Yang (Twitter)
- 2. Srikanth Thiagarajan (Twitter)
- 3. Jimmy Lin (University of Waterloo)
BibTeX Citation
@inproceedings{yang_sigmod18,
title = {{Robust, Scalable, Real-Time Event Time Series Aggregation at Twitter}},
author = {Yang, Peilin and Thiagarajan, Srikanth and Lin, Jimmy},
series = {{SIGMOD} '18},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3183713.3190663},
url = {https://dl.acm.org/doi/10.1145/3183713.3190663},
year = {2018}
}
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