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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
4606
Venue
SIGMOD
Year
2012
Pagerank
5.7897494e-05
Overall Rank
4,971 | 65.46%
DOI
-

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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
878 Google Fusion Tables: Web-Centered Data Management and Collaboration 2010 SIGMOD 0.000156503
1,862 Bootstrapping Pay-As-You-Go Data Integration Systems 2008 SIGMOD 0.00010292134
6,198 Just-in-time Data Integration in Action 2010 VLDB 5.1565928e-05
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7,241 Data Integration and Machine Learning: A Natural Synergy 2018 VLDB 4.7867685e-05
2,453 Data Fusion – Resolving Data Conflicts for Integration 2009 VLDB 8.7815427e-05
2,318 On Improving User Response Times in Tableau 2015 SIGMOD 9.04679e-05
8,553 A Testbed for Managing Dynamic Mixed Workloads 2009 VLDB 4.4893996e-05
394 Big Data Integration 2013 VLDB 0.0002447017
47 Data Integration: A Theoretical Perspective 2002 PODS 0.00069691761
2,663 An Analytic Data Engine for Visualization in Tableau 2011 SIGMOD 8.3532571e-05