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MAD Skills: New Analysis Practices for Big Data

Summary: MAD: Magnetic, Agile, Deep data analysis marks a radical shift from EDW/BI for big data. It presents data-parallel density methods and SQL/MapReduce-enabled workflows on Greenplum to enable agile analytics for advertising networks. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
hb488806ad54f3530
Venue
VLDB
Year
2009
Pagerank
0.00028579704
Overall Rank
154 | 98.97%
DOI
10.14778/1687553.1687576

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{cohen_vldb09,
        title = {{MAD Skills: New Analysis Practices for Big Data}},
        author = {Cohen, Jeffrey and Dolan, Brian and Dunlap, Mark and Hellerstein, Joseph M. and Welton, Caleb},
        journal = {PVLDB},
        series = {{VLDB} '09},
        doi = {10.14778/1687553.1687576},
        url = {https://doi.org/10.14778/1687553.1687576},
        year = {2009}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 54 citing papers.

Rank Citing Paper Year Venue Pagerank
12,253 An Authorization Model for Multi Provider Queries 2018 VLDB 4.9793485e-05
12,475 Interval Disaggregate: A New Operator for Business Planning 2014 VLDB 4.9793485e-05
12,595 Approximate Computation and Implicit Regularization for Very Large-scale Data Analysis 2012 PODS 4.9793485e-05
12,689 Resiliency-Aware Data Management 2011 VLDB 4.9793485e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 cited papers.

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

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