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The VADA Architecture for Cost-Effective Data Wrangling

Summary: VADA is an extensible data-wrangling architecture that orchestrates extraction, cleaning, and integration via components guided by domain data. It enables feedback-driven refinement and user-priority tradeoffs, delivering results with less config. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5365
Venue
SIGMOD
Year
2017
Pagerank
4.7400209e-05
Overall Rank
7,384 | 48.69%
DOI
10.1145/3035918.3058730

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
8,166 Capturing and Querying Fine-grained Provenance of Preprocessing Pipelines in Data Science 2021 VLDB 4.567959e-05
9,661 Meta-Mappings for Schema Mapping Reuse 2019 VLDB 4.306608e-05
9,713 Materializing Knowledge Bases via Trigger Graphs 2021 VLDB 4.2951473e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
990 Relational Transducers for Electronic Commerce 1998 PODS 0.00014800793
1,274 The Data Civilizer System 2017 CIDR 0.00012869297
1,831 Data Wrangling: The Challenging Journey from the Wild to the Lake 2015 CIDR 0.0001037061
3,283 Constance: An Intelligent Data Lake System 2016 SIGMOD 7.27606e-05
4,691 DataXFormer: An Interactive Data Transformation Tool 2015 SIGMOD 5.9876184e-05
4,802 CLAMS: Bringing Quality to Data Lakes 2016 SIGMOD 5.9064959e-05
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