Optimization For Analytical Queries

Optimization for Analytical Queries is a query processing methodology that specifically enhances the execution efficiency and resource utilization of complex, read-intensive analytical workloads by leveraging techniques such as query rewriting, indexing strategies, and data layout optimizations tailored to decision-support patterns.

62

Publications

2.2K

Citations

204

Authors

66

Institutions

Publications per year

2017–2026

28

Variants

Analytical Query Optimization

Authors

204

  1. TV
    T. V. Vijay Kumar

    Jawaharlal Nehru University, India

    11 publications · 244 citations

    10

    h-index

  2. AA
    Anastasia Ailamaki

    École Polytechnique Fédérale de Lausanne, Switzerland

    3 publications · 78 citations

    3

    h-index

  3. KA
    Kenneth A. Ross

    Columbia University, United States

    3 publications · 53 citations

    3

    h-index

  4. OP
    Orestis Polychroniou

    Columbia University, United States

    3 publications · 53 citations

    3

    h-index

  5. BA
    Biri Arun

    Jawaharlal Nehru University, India

    3 publications · 80 citations

    3

    h-index

1–5 of 204

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 15 publications · 824 citations

    13

    h-index

  2. Infoscience (Ecole Polytechnique Fédérale de Lausanne)

    Repository · 2 publications · 40 citations

    2

    h-index

  3. 2

    h-index

  4. International Journal of Natural Computing Research

    IJNCR · 1 publications · 25 citations

    1

    h-index

  5. VBN Forskningsportal (Aalborg Universitet)

    Repository · 1 publications · 13 citations

    1

    h-index

1–5