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Crossing the finish line faster when paddling the Data Lake with KAYAK

Summary: KAYAK offers ad-hoc primitives and incremental execution to generate informative previews for data preparation in data lakes. Metadata-centric design minimizes human effort and scales as the lake evolves, speeding the journey to insights. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11469
Venue
VLDB
Year
2017
Pagerank
4.6618625e-05
Overall Rank
7,745 | 46.12%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
4,003 Data Platform for Machine Learning 2019 SIGMOD 6.54347e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 8 of 8 cited papers.

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

Rank Cited Paper Year Venue Pagerank
610 Goods: Organizing Google's Datasets 2016 SIGMOD 0.00019232674
818 Finding Related Tables 2012 SIGMOD 0.00016311524
1,277 The Data Civilizer System 2017 CIDR 0.00012879695
1,625 Data Profiling with Metanome 2015 VLDB 0.00011094926
1,833 Data Wrangling: The Challenging Journey from the Wild to the Lake 2015 CIDR 0.00010378976
2,269 Ground: A Data Context Service 2017 CIDR 9.147379e-05
3,281 Constance: An Intelligent Data Lake System 2016 SIGMOD 7.2823287e-05
3,347 Collaborative Data Analytics with DataHub 2015 VLDB 7.1921364e-05
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