TraNCE: Transforming Nested Collections Efficiently
Summary: Compiler-based processing of nested relational queries on distributed engines, using shredding, unnesting, and materialization to efficiently generate nested outputs. Demo emphasizes usability with query authoring, visualization, and notebook targets for scalable data science workflows. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Jaclyn Smith
- 2. Michael Benedikt
- 3. Brandon Moore
- 4. Milos Nikolic
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,350 | An Intermediate Representation for Optimizing Machine Learning Pipelines | 2019 | VLDB | 8.9788641e-05 |
| 2,818 | Implicit Parallelism through Deep Language Embedding | 2015 | SIGMOD | 8.0665558e-05 |
| 3,375 | Query Shredding: Efficient Relational Evaluation of Queries over Nested Multisets | 2014 | SIGMOD | 7.1633324e-05 |
| 4,677 | Automatically Leveraging MapReduce Frameworks for Data-Intensive Applications | 2018 | SIGMOD | 6.0047822e-05 |
| 6,078 | The Flatter, the Better: Query Compilation Based on the Flattening Transformation | 2015 | SIGMOD | 5.2225986e-05 |
| 6,658 | Scalable Querying of Nested Data | 2021 | VLDB | 4.9711629e-05 |
| 8,271 | Rumble: Data Independence for Large Messy Data Sets | 2021 | VLDB | 4.5453618e-05 |
| 8,534 | Translation of Array-Based Loops to Distributed Data-Parallel Programs | 2020 | VLDB | 4.4937074e-05 |
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