Data Replatforming

Data Replatforming is a methodological framework within workload replatforming that specifically entails the systematic migration and transformation of data assets from legacy systems to modern computational environments to enable enhanced data interoperability, scalability, and analytical capabilities.

2

Publications

25

Citations

6

Authors

0

Institutions

Publications per year

2017–2026

0

Authors

6

  1. SH
    Sumi Helal

    University of Florida, United States

    1 publications · 15 citations

    1

    h-index

  2. MH
    Martin Heß

    Ludwig-Maximilians-Universität München, Germany

    1 publications · 10 citations

    1

    h-index

  3. TV
    Tatiana von Landesberger

    Technische Universität Darmstadt, Germany

    1 publications · 10 citations

    1

    h-index

  4. SB
    Sebastian Bremm

    Technische Universität Darmstadt, Germany

    1 publications · 10 citations

    1

    h-index

  5. DW
    Dieter W. Fellner

    Fraunhofer Institute for Computer Graphics Research, Germany

    1 publications · 10 citations

    1

    h-index

1–5 of 6

Venues

  1. TUbilio (Technical University of Darmstadt)

    Repository · 1 publications · 10 citations

    1

    h-index

1–1