Compact Summaries over Large Datasets
Summary: Tutorial on designing and analyzing compact, mergeable summaries that capture essential dataset properties for single‑machine storage and querying after distributed parallel construction. Covers count‑distinct estimators and linear sketches for norms/inner products, space/error tradeoffs, mergeability, and efficient algorithms to compute and combine them. (summarized by gpt-5-mini on Feb 09 2026)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 109 | Dremel: Interactive Analysis of Web-Scale Datasets | 2010 | VLDB | 0.00048217028 |
| 126 | Space-Efficient Online Computation of Quantile Summaries | 2001 | SIGMOD | 0.00044753012 |
| 398 | Mergeable Summaries | 2012 | PODS | 0.00024383201 |
| 3,491 | Holistic UDAFs at Streaming Speeds | 2004 | SIGMOD | 7.0436671e-05 |
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