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Dependency-Driven Analytics: a Compass for Uncharted Data Oceans

Summary: Proposes DDA: extract a compact dependency graph from raw telemetry to index and constrain analyses, reducing cognitive and compute costs for petabyte-scale log analytics. Deployed at Microsoft on job/file lineage using off-the-shelf Big Data+graph DBs. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
306
Venue
CIDR
Year
2017
Pagerank
5.5246167e-05
Overall Rank
7,878 | 45.96%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{mavlyutov_cidr17,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '17},
        title = {{Dependency-Driven Analytics: a Compass for Uncharted Data Oceans}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Mavlyutov, Ruslan and Curino, Carlo and Asipov, Boris and Cudre-Mauroux, Philippe},
        year = {2017}
}

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