Profiling Of Relational Databases

Profiling of Relational Databases is a data profiling method that systematically examines the structure, content, and dependencies within relational databases to discover metadata, detect anomalies, and assess data quality characteristics specific to schema and instance-level relationships.

17

Publications

851

Citations

45

Authors

18

Institutions

Publications per year

2017–2026

3

Authors

45

  1. FN
    Felix Naumann

    Hasso Plattner Institute, Germany

    6 publications · 601 citations

    6

    h-index

  2. TP
    Thorsten Papenbrock

    Hasso Plattner Institute, Germany

    3 publications · 150 citations

    3

    h-index

  3. TF
    Tobias Friedrich

    Hasso Plattner Institute, Germany

    2 publications · 58 citations

    2

    h-index

  4. MS
    Martin Schirneck

    Hasso Plattner Institute, Germany

    2 publications · 58 citations

    2

    h-index

  5. AP
    Amir Parssian

    The University of Texas at Dallas, United States

    2 publications · 30 citations

    2

    h-index

1–5 of 45

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 2 publications · 128 citations

    2

    h-index

  2. ACM SIGMOD Record

    2 publications · 181 citations

    2

    h-index

  3. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)

    Repository · 1 publications · 34 citations

    1

    h-index

  4. Information Systems

    1 publications · 17 citations

    1

    h-index

  5. The VLDB Journal

    1 publications · 273 citations

    1

    h-index

1–5