QUIS: In-Situ Heterogeneous Data Source Querying
Summary: QUIS provides federated, adapter-based in-situ querying across heterogeneous, evolving data sources, avoiding ETL. It decomposes queries into source-executable fragments and complements unsupported operations, ensuring full semantics with virtual schemas and heterogeneous joins. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Javad Chamanara (Friedrich Schiller University of Jena)
- 2. Birgitta König-Ries (Friedrich Schiller University of Jena)
- 3. H. V. Jagadish (University of Michigan)
BibTeX Citation
@article{chamanara_vldb17,
title = {{QUIS: In-Situ Heterogeneous Data Source Querying}},
author = {Chamanara, Javad and König-Ries, Birgitta and Jagadish, H. V.},
journal = {PVLDB},
series = {{VLDB} '17},
volume = {10},
number = {12},
pages = {1877--1880},
doi = {10.14778/3137765.3137780},
url = {https://doi.org/10.14778/3137765.3137780},
year = {2017}
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