Machine Programming: Turning Data into Programmer Productivity
Summary: Tutorial on machine programming for data systems; introduces three pillars: intention, invention, adaptation; relevance to data management. Surveys data ecosystem challenges and opportunities for the data systems community; outlines recent advances and dataset-driven methods to boost programmer productivity and software performance. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Abdul Wasay
- 2. Nesime Tatbul
- 3. Justin Gottschlich
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 192 | HoloClean: Holistic Data Repairs with Probabilistic Inference | 2017 | VLDB | 0.00035728858 |
| 254 | Snorkel: Rapid Training Data Creation with Weak Supervision | 2018 | VLDB | 0.00030540555 |
| 1,552 | Overview of Data Exploration Techniques | 2015 | SIGMOD | 0.00011408814 |
| 3,473 | AI Meets Database: AI4DB and DB4AI | 2021 | SIGMOD | 7.062864e-05 |
| 5,861 | Machine Learning for Databases | 2021 | VLDB | 5.298883e-05 |
| 7,655 | Machine Learning for Cloud Data Systems: the Progress so far and the Path Forward | 2021 | VLDB | 4.6872456e-05 |
| 8,038 | Amber: A Debuggable Dataflow System Based on the Actor Model | 2020 | VLDB | 4.600124e-05 |
| 8,346 | Deep Learning: Systems and Responsibility | 2021 | SIGMOD | 4.5420668e-05 |
| 9,306 | Debugging Large-Scale Data Science Pipelines using Dagger | 2020 | VLDB | 4.3572942e-05 |
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