Scalable Analytics Infrastructure

Scalable Analytics Infrastructure is a computational framework within Business Intelligence Architecture designed to dynamically expand its data processing and analytical capabilities in response to increasing data volumes, user demands, or complexity while maintaining performance, reliability, and efficiency.

80

Publications

5.5K

Citations

414

Authors

137

Institutions

Publications per year

2017–2026

35

Authors

414

  1. SR
    Sanjiv Ranjan Das

    Santa Clara University, United States

    3 publications · 101 citations

    3

    h-index

  2. RK
    Rajasekar Krishnamurthy

    Western Michigan University, United States

    3 publications · 101 citations

    3

    h-index

  3. AC
    Alok Choudhary

    Northwestern University, United States

    3 publications · 75 citations

    3

    h-index

  4. MA
    Mauricio A. Hernández

    IBM Research - Almaden, United States

    3 publications · 101 citations

    3

    h-index

  5. IS
    Ioana Stanoi

    IBM (United States), United States

    3 publications · 101 citations

    3

    h-index

1–5 of 414

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 3 publications · 79 citations

    3

    h-index

  2. 2

    h-index

  3. SSRN Electronic Journal

    Repository · 2 publications · 48 citations

    2

    h-index

  4. Scientific Data

    2 publications · 314 citations

    2

    h-index

  5. 2

    h-index

1–5