Heterogeneous Data Migration

Heterogeneous Data Migration is a data migration process that involves transferring data across structurally dissimilar systems, formats, or platforms, distinguished by the necessity to transform and reconcile data representations due to inherent differences in schema, semantics, or storage technologies.

6

Publications

114

Citations

16

Authors

8

Institutions

Publications per year

2017–2026

1

Authors

16

  1. CK
    Chadi Kari

    University of the Pacific, United States

    2 publications · 27 citations

    2

    h-index

  2. FJ
    Francisco José García‐Peñalvo

    Universidad de Salamanca, Spain

    1 publications · 11 citations

    1

    h-index

  3. BD
    Bruno Defude

    Institut Polytechnique de Paris, France

    1 publications · 30 citations

    1

    h-index

  4. RS
    Rami Sellami

    Centre National de la Recherche Scientifique, France

    1 publications · 30 citations

    1

    h-index

  5. HM
    H. M. L. Dharmasiri

    University of Colombo, Sri Lanka

    1 publications · 21 citations

    1

    h-index

1–5 of 16

Venues

  1. IEEE Transactions on Services Computing

    1 publications · 30 citations

    1

    h-index

1–1