Crowdsourced data management : industry and academic perspectives

von Marcus, Adam
Veröffentlicht 2015

Towards Observability for Production Machine Learning Pipelines [Vision]

von Shankar, Shreya
Veröffentlicht in International Conference on Very Large Data Bases (48. : 2022 : Sydney; Online) 48th International Conference on Very Large Data Bases (VLDB 2022) ; Part 6 of 6 (2023)

Bolt-on, Compact, and Rapid Program Slicing for Notebooks [Scalable Data Science]

von Shankar, Shreya
Veröffentlicht in International Conference on Very Large Data Bases (48. : 2022 : Sydney; Online) 48th International Conference on Very Large Data Bases (VLDB 2022) ; Part 6 of 6 (2023)

Fine-Grained Lineage for Safer Notebook Interactions

von Macke, Stephen
Veröffentlicht in VLDB (47. : 2021 : Kopenhagen; Online) 47th International Conference on Very Large Data Bases 2021 ; Part 2 of 4 (2021)

NOAH: Interactive Spreadsheet Exploration with Dynamic Hierarchical Overviews

von Rahman, Sajjadur
Veröffentlicht in VLDB (47. : 2021 : Kopenhagen; Online) 47th International Conference on Very Large Data Bases 2021 ; Part 2 of 4 (2021)

Flexible Rule-Based Decomposition and Metadata Independence in Modin: A Parallel Dataframe System

von Petersohn, Devin
Veröffentlicht in International Conference on Very Large Data Bases (48. : 2022 : Sydney; Online) 48th International Conference on Very Large Data Bases (VLDB 2022) ; Part 2 of 6 (2023)

Towards Scalable Dataframe Systems

von Petersohn, Devin
Veröffentlicht in VLDB (46. : 2020 : Online) 46th International Conference on Very Large Data Bases ; Volume 3 of 5 (2020)

Lux: Always-on Visualization Recommendations for Exploratory Dataframe Workflows

von Lee, Doris
Veröffentlicht in International Conference on Very Large Data Bases (48. : 2022 : Sydney; Online) 48th International Conference on Very Large Data Bases (VLDB 2022) ; Part 2 of 6 (2023)