2003•Unpublished venueRequires access

A system for data change propagation in heterogeneous information systems

Carmen Constantinescu, Uwe Heinkel, Ralf Rantzau, Bernhard Mitschang

Open publisher page 11 citations

Abstract

Abstract: Today, it is common that enterprises manage several mostly heterogeneous information systems to supply their production and business processes with data. There is a need to exchange data between the information systems while preserving system autonomy. Hence, an integration approach that relies on a single global enterprise data schema is ruled out. This is also due to the widespread usage of legacy systems. We propose a system, called Propagation Manager, which manages dependencies between data objects stored in different information systems. A script specifying complex data transformations and other sophisticated activities, like the execution of external programs, is associated with each dependency. For example, an object update in a source system can trigger data transformations of the given source data for each destination system that depends on the object. Our system is implemented using current XML technologies. We present the architecture and processing model of our system and demonstrate the benefit of our approach by illustrating an extensive example scenario. 1.

About this research paper

What this paper is about

Abstract: Today, it is common that enterprises manage several mostly heterogeneous information systems to supply their production and business processes with data. There is a need to exchange data between the information systems while preserving system autonomy. Hence, an integration approach that relies on a single global enterprise data schema is ruled out. This is also due to the widespread usage of legacy systems. We propose a system, called Propagation Manager, which manages dependencies between data objects stored in different information systems. A script specifying complex data transformations and other sophisticated activities, like the execution of external programs, is associated with each dependency. For example, an object update in a source system can trigger data transformations of the given source data for each destination system that depends on the object. Our system is implemented using current XML technologies. We present the architecture and processing model of our system and demonstrate the benefit of our approach by illustrating an extensive example scenario. 1.

Why it matters

OpenAlex reports 11 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Abstract: Today, it is common that enterprises manage several mostly heterogeneous information systems to supply their production and business processes with data. There is a need to exchange data between the information systems while preserving system autonomy. Hence, an integration approach that relies on a single global enterprise data schema is ruled out. This is also due to the widespread usage of legacy systems. We propose a system, called Propagation Manager, which manages dependencies between data objects stored in different information systems. A script specifying complex data transformations and other sophisticated activities, like the execution of external programs, is associated with each dependency. For example, an object update in a source system can trigger data transformations of the given source data for each destination system that depends on the object. Our system is implemented using current XML technologies. We present the architecture and processing model of our system and demonstrate the benefit of our approach by illustrating an extensive example scenario. 1.

Key concepts: Computer science, Legacy system, Information system, XML, Data modeling, Distributed computing, Enterprise information integration, Schema (genetic algorithms)

Related papers

Back to paper searchBrowse research topicsOriginal source
A system for data change propagation in heterogeneous information systems — Research Paper | ScholarLens