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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)

Paper ID
h1ffbaec2e7c28811
Venue
SIGMOD
Year
2018
Pagerank
4.9793485e-05
Overall Rank
12,213 | 17.89%
DOI
10.1145/3183713.3190663

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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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