With data becoming their key asset, large enterprises require data governance processes to maintain its quality. Because a large portion of business value in enterprise systems is usually delivered by legacy applications without proper documentation, there is a need for a better understanding of these applications and the data produced by them. In this paper, we present an approach to collecting insights into the data managed by enterprise systems by exploring enterprise logs in the search of messages being exchanged between applications. Our method identifies data assets from the extracted messages and finds relationships between them. Based on our professional practice, we verify the method in a generic environment that simulates an enterprise system consisting of applications that exchange XML messages.
Autorzy
- prof. dr hab. inż. Krzysztof Goczyła link otwiera się w nowej karcie ,
- mgr inż. Łukasz Korzeniowski
Informacje dodatkowe
- Kategoria
- Aktywność konferencyjna
- Typ
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Język
- angielski
- Rok wydania
- 2020
