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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
6.4076195e-05
Overall Rank
5,151 | 64.21%
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
1,088 Google Fusion Tables: Web-Centered Data Management and Collaboration 2010 SIGMOD 0.00012326497
1,621 Bootstrapping Pay-As-You-Go Data Integration Systems 2008 SIGMOD 0.00010260996
6,900 Just-in-time Data Integration in Action 2010 VLDB 5.8132867e-05
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7,293 Data Integration and Machine Learning: A Natural Synergy 2018 VLDB 5.7085008e-05
2,095 Data Fusion – Resolving Data Conflicts for Integration 2009 VLDB 9.2510716e-05
2,644 On Improving User Response Times in Tableau 2015 SIGMOD 8.379182e-05
8,643 A Testbed for Managing Dynamic Mixed Workloads 2009 VLDB 5.4598872e-05
417 Big Data Integration 2013 VLDB 0.00018903682
24 Data Integration: A Theoretical Perspective 2002 PODS 0.00055410952
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