Scenario model data collector

In this scenario data is collected form the various data producing applications and combined and standardized in the master data register. This means that data is modified in one of the data producing applications and eventually enriched in the data register. The data register is mainly a data replication with a standardized data model of the other data producers. An example is a datawarehouse Advantages - All data directly integrated at hand. - Standardization of data is possible within the Data Register - There is a possibility to enhance data by intelligently combing it to new information. - High availability only for the data register when consumers need a high availability - Data validation can be implemented in the system where it is most advantageous/efficient - Reuse of screens, validations, existing data integrations and workflows - Supports a iterative migration to a more centralized (register) scenario Disadvantages - When integration of data is asynchronous the data is not the same as in source systems on every moment. This will not be a problem if timing is not an issue. - When synchronization of data is synchronous high availability requirements for the registry systems is necessary - Data replication and need for extra storage - Fetching and distributing data back and forth is equally much work as with an MDM solution - Possible very complex data transformations necessary

Versie 1.0
Creatie datum 02-05-2021

ERP

ERP (or EAM) functionality for the registration of data within a number of highly standardized processes using asset data.

Auteur Bert Dingemans
Alias
Stereotypes ApplicationFunction
Details van ERP

Register Data Consumption via Integration

Application and database integration like webservices, file transfer, database links, views etc. In a later phase we will model the various integration methods and model these in detail

Auteur Bert Dingemans
Alias
Stereotypes ApplicationFunction
Details van Register Data Consumption via Integration

Register Data Consumption

Abstract architectural entity for the register data consumers, all user interfaces and data integrations are an master data consumer

Auteur Bert Dingemans
Alias
Stereotypes ApplicationFunction
Details van Register Data Consumption

Register Data Production

Logical application function for the storage and transformation of master data in various source function and the data register function

Auteur Bert Dingemans
Alias
Stereotypes ApplicationFunction
Details van Register Data Production

Other Data Producers

Other MDM data producing application functions like the delivery of office files etc.

Auteur Bert Dingemans
Alias
Stereotypes ApplicationFunction
Details van Other Data Producers

Register Data Publication and Integration Service

Logical services that publish the data from the register to various register data consumers

Auteur Bert Dingemans
Alias
Stereotypes ApplicationService
Details van Register Data Publication and Integration Service

Register Data Consumption via User Interface

All kinds of user interfaces in which an user can consume data via a (graphical) user interface. Examples of user interfaces are reports, forms, portals graphs, geoviews etc.

Auteur Bert Dingemans
Alias
Stereotypes ApplicationFunction
Details van Register Data Consumption via User Interface

Data Register

MDM like function that aggregates all the data in a standardized data model

Auteur Bert Dingemans
Alias
Stereotypes ApplicationFunction
Details van Data Register

Geo

Geo functionality and register in combination with the extraction of asset data in combination with geo data and maps

Auteur Bert Dingemans
Alias
Stereotypes ApplicationFunction
Details van Geo