Robust Data Transformations

Summary: Introduce a data‑driven paradigm that precomputes robust transformations (e.g., exhaustive/uniform partitions, indexes, vertical layouts) without relying on a query workload so ad‑hoc queries get immediate partial speedups. Explores efficient/skew‑aware creation, tight storage integration, and later workload‑driven specialization to make such upfront transformations practical. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: 230
Venue: CIDR
Year: 2015
Pagerank: -
Overall Rank: 13,611 | 6.94%
DOI: -

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Authors

1. Alekh Jindal (Massachusetts Institute of Technology)

BibTeX Citation

@inproceedings{jindal_cidr15,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '15},
        title = {{Robust Data Transformations}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Jindal, Alekh},
        year = {2015}
}

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