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Debugging Large-Scale Data Science Pipelines using Dagger

Summary: End-to-end debugger for data pipelines; Dagger isolates data-centric errors from transformations to model inputs. It enables inter-module (black-box blocks) and intra-module (inspect DataFrames/Python objects) debugging, demonstrated on Intel BI workloads. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12183
Venue
VLDB
Year
2020
Pagerank
4.3572942e-05
Overall Rank
9,306 | 35.27%
DOI
10.14778/3415478.3415527

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Showing 8 of 8 cited papers.

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

Rank Cited Paper Year Venue Pagerank
1,277 The Data Civilizer System 2017 CIDR 0.00012879695
1,350 Northstar: An Interactive Data Science System 2018 VLDB 0.00012431059
1,612 Detecting Data Errors: Where are we and what needs to be done? 2016 VLDB 0.00011142794
2,152 MISTIQUE: A System to Store and Query Model Intermediates for Model Diagnosis 2018 SIGMOD 9.4239787e-05
3,023 Helix: Accelerating Human-in-the-loop Machine Learning 2018 VLDB 7.6929986e-05
4,426 Data Debugging and Exploration with Vizier 2019 SIGMOD 6.1969994e-05
5,684 Dagger: A Data (not code) Debugger 2020 CIDR 5.3720749e-05
8,000 Data Civilizer 2.0: A Holistic Framework for Data Preparation and Analytics 2019 VLDB 4.6092803e-05
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