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Searching Data Lakes for Nested and Joined Data
Summary: Extends Juneau to search data lakes for hierarchical/nested matches by synthesizing views that join and transform multiple tables to match JSON or table search objects rather than single tables. Proposes a ranked-result merging framework with novel indexing and sketching that integrates single-table search; yields up to 4.8x faster retrieval, 43% more related results, +28% domain coverage and measurable downstream ML improvements.
(summarized by gpt-5-mini on Feb 09 2026)
- Paper ID
- 13548
- Venue
- VLDB
- Year
- 2024
- Pagerank
- 4.1905499e-05
- Overall Rank
- 11,066 | 23.10%
- DOI
-
10.14778/3681954.3682005
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No non-self incoming citations found for this paper in this database.
Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
Outgoing Citations (Sorted by Pagerank)
Showing 23 of 23 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 8 |
Optimal Aggregation Algorithms for Middleware [Extended Abstract] |
2001 |
PODS |
0.0015436578 |
| 36 |
Fast Algorithms for Mining Association Rules |
1994 |
VLDB |
0.00076114894 |
| 108 |
WebTables: Exploring the Power of Tables on the Web |
2008 |
VLDB |
0.00048345996 |
| 153 |
Relational Databases for Querying XML Documents: Limitations and Opportunities |
1999 |
VLDB |
0.00040759404 |
| 206 |
Storing Semistructured Data with STORED |
1999 |
SIGMOD |
0.00034583517 |
| 514 |
TURL: Table Understanding through Representation Learning |
2021 |
VLDB |
0.00021280726 |
| 551 |
Supporting Incremental Join Queries on Ranked Inputs |
2001 |
VLDB |
0.00020310856 |
| 609 |
Goods: Organizing Google's Datasets |
2016 |
SIGMOD |
0.00019223217 |
| 936 |
Data Lake Management: Challenges and Opportunities |
2019 |
VLDB |
0.00015197838 |
| 1,005 |
Recovering Semantics of Tables on the Web |
2011 |
VLDB |
0.00014694038 |
| 1,185 |
JOSIE: Overlap Set Similarity Search for Finding Joinable Tables in Data Lakes |
2019 |
SIGMOD |
0.00013432692 |
| 1,274 |
The Data Civilizer System |
2017 |
CIDR |
0.00012869297 |
| 1,370 |
Answering Table Queries on the Web using Column Keywords |
2012 |
VLDB |
0.00012339543 |
| 1,643 |
Finding Related Tables in Data Lakes for Interactive Data Science |
2020 |
SIGMOD |
0.00011031534 |
| 2,142 |
LSH Ensemble: Internet-Scale Domain Search |
2016 |
VLDB |
9.4461701e-05 |
| 2,842 |
Semantics-aware Dataset Discovery from Data Lakes with Contextualized Column-based Representation Learning |
2023 |
VLDB |
8.0366354e-05 |
| 3,001 |
SANTOS: Relationship-based Semantic Table Union Search |
2023 |
SIGMOD |
7.739698e-05 |
| 3,163 |
Ten Years of WebTables |
2018 |
VLDB |
7.4611268e-05 |
| 3,254 |
Auto-Suggest: Learning-to-Recommend Data Preparation Steps Using Data Science Notebooks |
2020 |
SIGMOD |
7.3172324e-05 |
| 3,326 |
DeepJoin: Joinable Table Discovery with Pre-trained Language Models |
2023 |
VLDB |
7.2148323e-05 |
| 4,860 |
Integrating Data Lake Tables |
2023 |
VLDB |
5.867964e-05 |
| 6,558 |
Pre-trained Embeddings for Entity Resolution: An Experimental Analysis |
2023 |
VLDB |
5.0060112e-05 |
| 7,840 |
Auto-Validate: Unsupervised Data Validation Using Data-Domain Patterns Inferred from Data Lakes |
2021 |
SIGMOD |
4.6337164e-05 |
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Discovering Related Data At Scale |
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5.3197639e-05 |
| 3,827 |
Correlation Sketches for Approximate Join-Correlation Queries |
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SIGMOD |
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| 8,121 |
LakeBench: A Benchmark for Discovering Joinable and Unionable Tables in Data Lakes |
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4.5771143e-05 |
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7.2148323e-05 |
| 1,643 |
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2020 |
SIGMOD |
0.00011031534 |