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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
4605
Venue
SIGMOD
Year
2012
Pagerank
5.7949871e-05
Overall Rank
4,969 | 65.44%
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
883 Google Fusion Tables: Web-Centered Data Management and Collaboration 2010 SIGMOD 0.00015656548
1,858 Bootstrapping Pay-As-You-Go Data Integration Systems 2008 SIGMOD 0.00010301124
6,196 Just-in-time Data Integration in Action 2010 VLDB 5.1614813e-05
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7,243 Data Integration and Machine Learning: A Natural Synergy 2018 VLDB 4.7913666e-05
2,452 Data Fusion – Resolving Data Conflicts for Integration 2009 VLDB 8.7839322e-05
2,311 On Improving User Response Times in Tableau 2015 SIGMOD 9.0539767e-05
8,556 A Testbed for Managing Dynamic Mixed Workloads 2009 VLDB 4.4937074e-05
398 Big Data Integration 2013 VLDB 0.00024372588
48 Data Integration: A Theoretical Perspective 2002 PODS 0.00069720859
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