Hybrid Row-Column Partitioning in Teradata
Summary: Hybrid row-column partitioning in Teradata stores row, column, or mixed partitions under a unified storage layer. The paper covers implementation, partitioned-table query optimization, and a study on how partition choices shape mixed-workload performance. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Mohammed Al-Kateb (Teradata)
- 2. Paul Sinclair (Teradata)
- 3. Grace Au (Teradata)
- 4. Carrie Ballinger (Teradata)
BibTeX Citation
@article{alkateb_vldb16,
title = {{Hybrid Row-Column Partitioning in Teradata}},
author = {Al-Kateb, Mohammed and Sinclair, Paul and Au, Grace and Ballinger, Carrie},
journal = {PVLDB},
series = {{VLDB} '16},
volume = {9},
number = {13},
pages = {1353--1364},
doi = {10.14778/3007263.3007275},
url = {https://doi.org/10.14778/3007263.3007275},
year = {2016}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,742 | Unified Data Analytics: State-of-the-art and Open Problems | 2022 | VLDB | 5.227679e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 13 of 13 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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