Data Architecture Patterns

Data Architecture Patterns is a structured framework that specifies reusable solutions for organizing, integrating, and managing data flows, storage, and processing across an enterprise, distinguished by their systematic approach to aligning data design with business goals, technological constraints, and governance requirements.

5

Publications

115

Citations

13

Authors

7

Institutions

Publications per year

2017–2026

3

Authors

13

  1. FL
    Frank Leyrnann

    University of Stuttgart, Germany

    1 publications · 14 citations

    1

    h-index

  2. SS
    Steve Strauch

    University of Stuttgart, Germany

    1 publications · 14 citations

    1

    h-index

  3. OK
    Oliver Kopp

    University of Stuttgart, Germany

    1 publications · 14 citations

    1

    h-index

  4. KY
    Ka Yung Cheng

    University Hospital Schleswig-Holstein, Germany

    1 publications · 20 citations

    1

    h-index

  5. AE
    Allae Erraissi

    University of Hassan II Casablanca, Morocco

    1 publications · 16 citations

    1

    h-index

1–5 of 13

Venues

  1. Studies in health technology and informatics

    Book series · 1 publications · 20 citations

    1

    h-index

  2. 1

    h-index

  3. Very Large Data Bases

    Conference · 1 publications · 43 citations

    1

    h-index

  4. Journal Of Big Data

    1 publications · 22 citations

    1

    h-index

1–4