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Dynamic Workload Driven Data Integration in Tableau

Summary: Workload-driven integration via Tableau data blending enables on-the-fly mashups from heterogeneous sources without upfront integration. End-users blend warehouses, text files, spreadsheets, and data cubes, bypassing mediated schemas and mappings. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4667
Venue
SIGMOD
Year
2012
Pagerank
6.3110514e-05
Overall Rank
5,219 | 64.20%
DOI
10.1145/2213836.2213961

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{morton_sigmod12,
        title = {{Dynamic Workload Driven Data Integration in Tableau}},
        author = {Morton, Kristi and Bunker, Ross and Mackinlay, Jock and Morton, Robert and Stolte, Chris},
        series = {{SIGMOD} '12},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2213836.2213961},
        url = {https://dl.acm.org/doi/10.1145/2213836.2213961},
        year = {2012}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

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Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

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

Rank Cited Paper Year Venue Pagerank
1,098 Google Fusion Tables: Web-Centered Data Management and Collaboration 2010 SIGMOD 0.00012179025
1,649 Bootstrapping Pay-As-You-Go Data Integration Systems 2008 SIGMOD 0.00010117306
7,019 Just-in-time Data Integration in Action 2010 VLDB 5.7247411e-05
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