Multi-dimensional Data Statistics for Columnar In-Memory Databases
Summary: Introduces multi-dimensional statistics for columnar in-memory DBs using an order-preserving, dense-domain dictionary per column. Fixed-size encoding maps variable-length values to dense dictionary entries, yielding compact storage and enabling efficient encoded-data statistics for cross-dimensional queries. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Curtis Kroetsch
- 2. Anisoara Nica
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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 |
|---|---|---|---|---|
| 3,182 | SAP HANA: The Evolution from a Modern Main-Memory Data Platform to an Enterprise Application Platform | 2013 | VLDB | 7.4258376e-05 |
| 5,905 | Exploiting Ordered Dictionaries to Efficiently Construct Histograms with Q-Error Guarantees in SAP HANA | 2014 | SIGMOD | 5.2788785e-05 |
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