Best Practices: MDM Modelling

Best Practices: MDM Modelling

author
Adam Pemble
EnrichVersion
6.5
EnrichProdName
Talend MDM Platform
Talend Open Studio for MDM
Talend Data Fabric
task
Data Governance > Modeling data
EnrichPlatform
Talend Studio
Talend MDM Server
This article defines the best practices to adopt when creating a physical MDM model with Talend.

Overview

This article serves as a guide to the techniques, standards and best practices that should be employed when creating a physical MDM model with Talend. This article is targeted at the commercial version of Talend, but a subset of the functionality can be found in the Open Source product.

The following best practices have been compiled from many years of experience in implementing Talend MDM by the Talend Professional Services team. For further assistance, please contact your Talend Account Manager.

This article does not attempt to outline how a given domain (for example, Customer) should be modelled. The physical MDM model design is driven by :

  • An organization-wide consensus of the definition of each master data entity – this is usually not just the model as defined by an individual source system. The driving force for obtaining this consensus should be the data governance group, with representation from all stakeholders (business and IT). The result of this initiative is a set of conceptual and logical models which are used to help design the MDM physical model.
  • Data profiling and analysis.
  • The business processes that the organization requires to be enacted upon the MDM model. This most likely includes business processes that do not exist in the organization before the MDM project. Thus, business process analysis (current and desired) is a critical pre-requisite to the implementation of the right MDM physical model design.

Once the organization is ready to begin creation of an MDM physical model, this guide should be employed to ensure a consistent and robust implementation.

Prerequisites

  • You have completed the Talend MDM Modelling Training class.