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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
10048
Venue
VLDB
Year
2009
Pagerank
0.00028713176
Overall Rank
155 | 98.94%
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 3 of 53 citing papers.

Rank Citing Paper Year Venue Pagerank
12,184 Interval Disaggregate: A New Operator for Business Planning 2014 VLDB 5.093636e-05
12,304 Approximate Computation and Implicit Regularization for Very Large-scale Data Analysis 2012 PODS 5.093636e-05
12,398 Resiliency-Aware Data Management 2011 VLDB 5.093636e-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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