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Juneau: Data Lake Management for Jupyter

Summary: Juneau extends Jupyter as an instrumentation layer for data-lake management in collaborative labs. It enables indexing, search, and recommendations of complementary datasets, features, and training data to boost reuse and discovery in notebooks. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12084
Venue
VLDB
Year
2019
Pagerank
6.6517623e-05
Overall Rank
4,511 | 69.06%
DOI
10.14778/3352063.3352095

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{zhang_vldb19,
        title = {{Juneau: Data Lake Management for Jupyter}},
        author = {Zhang, Yi and Ives, Zachary G.},
        journal = {PVLDB},
        series = {{VLDB} '19},
        volume = {12},
        number = {12},
        pages = {1902--1905},
        doi = {10.14778/3352063.3352095},
        url = {https://doi.org/10.14778/3352063.3352095},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

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

Rank Cited Paper Year Venue Pagerank
5 Optimal Aggregation Algorithms for Middleware [Extended Abstract] 2001 PODS 0.0010828372
878 Table Union Search on Open Data 2018 VLDB 0.00013463374
963 The Data Civilizer System 2017 CIDR 0.00012935145
1,897 Exemplar Queries: Give me an Example of What You Need 2014 VLDB 9.5243334e-05
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