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
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Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,791 | Towards Demystifying Serverless Machine Learning Training | 2021 | SIGMOD | 8.1206618e-05 |
| 5,720 | BAGUA: Scaling up Distributed Learning with System Relaxations | 2022 | VLDB | 5.3527734e-05 |
| 10,998 | Database Native Model Selection: Harnessing Deep Neural Networks in Database Systems | 2024 | VLDB | 4.1945683e-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 |
|---|---|---|---|---|
| 2,940 | Operating System Extensions for the Teradata Parallel VLDB | 2001 | VLDB | 7.8520709e-05 |
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