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JSON Data Management – Supporting Schema-less Development in RDBMS
Summary: Proposes three architectural principles to enable schema-less JSON development inside an RDBMS. Demonstrates SQL/JSON as a single declarative interface unifying relational and JSON data on a common platform.
(summarized by gpt-5-nano on Feb 09 2026)
Paper ID
h37779c400e95ddc4
Venue
SIGMOD
Year
2014
Pagerank
7.93571e-05
Overall Rank
2,854 | 80.82%
DOI
10.1145/2588555.2595628
Incoming Non-self Citations Over Time
BibTeX Citation
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@inproceedings{liu_sigmod14,
title = {{JSON Data Management – Supporting Schema-less Development in RDBMS}},
author = {Liu, Zhen Hua and Hammerschmidt, Beda and McMahon, Doug},
series = {{SIGMOD} '14},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2588555.2595628},
url = {https://dl.acm.org/doi/10.1145/2588555.2595628},
year = {2014}
}
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Showing 14 of 14 cited papers.
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Rank
Cited Paper
Year
Venue
Pagerank
12
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2005
VLDB
0.0006897844
61
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2006
SIGMOD
0.00039236924
166
On Supporting Containment Queries in Relational Database Management Systems
2001
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319
Making Database Systems Usable
2007
SIGMOD
0.00021155013
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F1: A Distributed SQL Database That Scales
2013
VLDB
0.00015548752
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Jaql: A Scripting Language for Large Scale Semistructured Data Analysis
2011
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1,056
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2001
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1,784
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2005
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9.6466168e-05
2,016
On Brewing Fresh Espresso: LinkedIn’s Distributed Data Serving Platform
2013
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2,082
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2004
VLDB
9.0718964e-05
4,808
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2003
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6.4053843e-05
7,085
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2011
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2005
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12,879
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2008
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