Data Consistency Checks

Data Consistency Checks is a post-migration validation method that verifies the integrity and uniformity of data across source and target systems by identifying discrepancies in data values, relationships, and constraints after migration.

151

Publications

8.3K

Citations

785

Authors

384

Institutions

Publications per year

2017–2026

49

Variants

Data Consistency Validation

Authors

785

  1. NR
    Nina R. Schooler

    SUNY Downstate Health Sciences University, United States

    4 publications · 85 citations

    4

    h-index

  2. CY
    Christian Yavorsky

    Janssen Scientific Affairs (United States)

    4 publications · 85 citations

    4

    h-index

  3. JR
    Jonathan Rabinowitz

    Bar-Ilan University, Israel

    4 publications · 85 citations

    4

    h-index

  4. RK
    Ritu Khare

    Children's Hospital of Philadelphia, United States

    3 publications · 84 citations

    3

    h-index

  5. AA
    Ariana Anderson

    University of California, Los Angeles, United States

    3 publications · 69 citations

    3

    h-index

1–5 of 785

Venues

  1. Journal of Geophysical Research Atmospheres

    JGR · 5 publications · 298 citations

    5

    h-index

  2. 4

    h-index

  3. arXiv (Cornell University)

    Repository · 3 publications · 74 citations

    3

    h-index

  4. Astronomy and Astrophysics

    3 publications · 215 citations

    3

    h-index

  5. The Astrophysical Journal

    ApJ · 3 publications · 740 citations

    3

    h-index

1–5