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)
Incoming Non-self Citations Over Time
Authors
- 1. Ruslan Mavlyutov (University of Freiburg)
- 2. Carlo Curino (Microsoft)
- 3. Boris Asipov (Microsoft)
- 4. Philippe Cudre-Mauroux (University of Freiburg)
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}
}
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,605 | Computation Reuse in Analytics Job Service at Microsoft | 2018 | SIGMOD | 7.2640711e-05 |
| 4,756 | Improving Reproducibility of Data Science Pipelines through Transparent Provenance Capture | 2020 | VLDB | 6.5221401e-05 |
| 8,950 | OneProvenance: Efficient Extraction of Dynamic Coarse-Grained Provenance From Database Query Event Logs | 2023 | VLDB | 5.345946e-05 |
| 11,862 | Peering through the Dark: An Owl's View of Inter-job Dependencies and Jobs' Impact in Shared Clusters | 2019 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 11 of 11 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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