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JSON Tiles: Fast Analytics on Semi-Structured Data
Summary: JSON Tiles enables fast analytics on semi-structured JSON in relational DBs without fixed schemas. It auto-detects key attributes, extracts them transparently like a column store, handles heterogeneous data, and collects optimizer statistics, achieving near-columnar scan speeds.
(summarized by gpt-5-nano on Feb 09 2026)
Paper ID
hf3255187a8582820
Venue
SIGMOD
Year
2021
Pagerank
6.9285787e-05
Overall Rank
3,916 | 73.68%
DOI
10.1145/3448016.3452809
Incoming Non-self Citations Over Time
BibTeX Citation
@inproceedings{durner_sigmod21,
title = {{JSON Tiles: Fast Analytics on Semi-Structured Data}},
author = {Durner, Dominik and Leis, Viktor and Neumann, Thomas},
series = {{SIGMOD} '21},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3448016.3452809},
url = {https://dl.acm.org/doi/10.1145/3448016.3452809},
year = {2021}
}
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