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Data-centric AI is a new and exciting research topic in the AI community, but many organizations already build and maintain various "data-centric" applications whose goal is to produce high quality data.
“Privacy integrated queries: an extensible platform for privacy-preserving data analysis”
Frank McSherry · 2009
Earlier work this paper cites.
“Towards ML Engineering: A Brief History Of TensorFlow Extended (TFX)”
Konstantinos Katsiapis et al · 2010
Earlier work this paper cites.
“A Simple and Practical Algorithm for Differentially Private Data Release”
Moritz Hardt, Katrina Ligett and Frank McSherry · 2012
Earlier work this paper cites.
“Data Programming: Creating Large Training Sets, Quickly”
Alexander Ratner et al · 2016
Earlier work this paper cites.
“TFX: A TensorFlow-Based Production-Scale Machine Learning Platform”
Denis Baylor et al · 2017
Earlier work this paper cites.
“Meet Michelangelo: Uber’s Machine Learning Platform”, 2017
Jeremy Hermann and Mike Balso · 2017
Cited alongside, same era.
“Automating Large-Scale Data Quality Verification”
Sebastian Schelter et al · 2018
Cited alongside, same era.
“Accelerating the Machine Learning Lifecycle with MLflow”
Matei Zaharia et al · 2018
Cited alongside, same era.
“Data Validation for Machine Learning”
Eric Breck et al · 2019
Cited alongside, same era.
“Model Cards for Model Reporting”
Margaret Mitchell et al · 2019
Cited alongside, same era.
URL: https://www.getdbt.com
“dbt”
Cited in the paper.
URL: https://dvc.org
“DVC: Data Version Control”
Cited in the paper.
“Delta Lake: High-Performance ACID Table Storage over Cloud Object Stores”
Michael Armbrust et al · 2020
Later among the works it cites.
“Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions”
Zinan Lin et al · 2020
Later among the works it cites.
“Generating high-fidelity synthetic patient data for assessing machine learning healthcare software”
Allan Tucker, Zhenchen Wang, Ylenia Rotalinti and Puja Myles · 2020
Later among the works it cites.
“Investigating Visual Analysis of Differentially Private Data”
Dan Zhang, Ali Sarvghad and Gerome Miklau · 2020
Later among the works it cites.
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URL: https://greatexpectations.io
“Great Expecations”
Cited in the paper.
URL: https://kubeflow.org
“Kubeflow: The Machine Learning Toolkit for Kubernetes”
Cited in the paper.
URL: https://lakefs.io
“LakeFS: Atomic Versioned Data Lake”
Cited in the paper.