In-database Distributed Machine Learning: Demonstration using Teradata SQL Engine
Summary: In-database distributed machine learning demonstrated inside Teradata SQL Engine. Interactive Python/Jupyter APIs enable training of linear regression and neural networks directly in the DB, avoiding data movement and enabling scalable, in-database ML. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Sandeep Singh Sandha (University of California Los Angeles)
- 2. Wellington Cabrera (Teradata)
- 3. Mohammed Al-Kateb (Teradata)
- 4. Sanjay Nair (Teradata)
- 5. Mani Srivastava (University of California Los Angeles)
BibTeX Citation
@article{sandha_vldb19,
title = {{In-database Distributed Machine Learning: Demonstration using Teradata SQL Engine}},
author = {Sandha, Sandeep Singh and Cabrera, Wellington and Al-Kateb, Mohammed and Nair, Sanjay and Srivastava, Mani},
journal = {PVLDB},
series = {{VLDB} '19},
volume = {12},
number = {12},
pages = {1854--1857},
doi = {10.14778/3352063.3352083},
url = {https://doi.org/10.14778/3352063.3352083},
year = {2019}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,169 | Towards Demystifying Serverless Machine Learning Training | 2021 | SIGMOD | 7.6715222e-05 |
| 5,876 | BAGUA: Scaling up Distributed Learning with System Relaxations | 2022 | VLDB | 6.0557672e-05 |
| 11,209 | Database Native Model Selection: Harnessing Deep Neural Networks in Database Systems | 2024 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,606 | Operating System Extensions for the Teradata Parallel VLDB | 2001 | VLDB | 7.2634066e-05 |
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