Incremental Database Systems: Databases from the Ground Up
Summary: Incremental DB systems with on-demand schema for raw, unstructured data. Store data without upfront schema and progressively derive an evolving schema as processing proceeds, enabling complex mappings of raw data to structured views. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Authors
- 1. Stanley B. Zdonik (Brown University)
BibTeX Citation
@inproceedings{zdonik_sigmod93,
title = {{Incremental Database Systems: Databases from the Ground Up}},
author = {Zdonik, Stanley B.},
series = {{SIGMOD} '93},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/170035.170101},
url = {https://dl.acm.org/doi/10.1145/170035.170101},
year = {1993}
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,145 | Objects and Views | 1991 | SIGMOD | 0.00011987662 |
| 1,385 | Characteristics of Scientific Databases | 1984 | VLDB | 0.00010956506 |
| 4,614 | MultiView: A Methodology for Supporting Multiple Views in Object-Oriented Databases | 1992 | VLDB | 6.6069832e-05 |
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