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Unified Data Analytics: State-of-the-art and Open Problems

Summary: Taxonomy of unifying data analytics across prep, analytics, and ML pipelines, clarifying why multi-platform scripts hinder productivity. Survey of Beam and Wayang; contrasts design choices and outlines open problems for unified analytics. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
13075
Venue
VLDB
Year
2022
Pagerank
5.227679e-05
Overall Rank
9,742 | 33.17%
DOI
10.14778/3554821.3554898

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{kaoudi_vldb22,
        title = {{Unified Data Analytics: State-of-the-art and Open Problems}},
        author = {Kaoudi, Zoi and Quiané-Ruiz, Jorge-Arnulfo},
        journal = {PVLDB},
        series = {{VLDB} '22},
        volume = {15},
        number = {12},
        pages = {3778--3781},
        doi = {10.14778/3554821.3554898},
        url = {https://doi.org/10.14778/3554821.3554898},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
9,620 Apache Wayang in Action: Enabling Data Systems Integration via a Unified Data Analytics Framework 2025 SIGMOD 5.2434488e-05
10,852 Accio: Bolt-on Query Federation 2025 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 16 of 16 cited papers.

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

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