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Guest View: Old thinking does a disservice to new data hubs

By Larry Dubov

October 15, 2009 — (Page 1 of 3)
Master Data Management (MDM) deals with master data. Master data are those that are generally the most highly shared and the most critical to successfully meeting the goals of an enterprise. Master data are the most essential sets of core data to an enterprise, which means they have to be accurate. If master data are inconsistent, they could potentially expose an enterprise to significant risk.

Over the past decade, data hubs have become a popular and evolving architectural construct for MDM and other enterprise data management solutions. Yet in my travels, I’m amazed that so many IT professionals still aren’t clear in their understanding of data hubs and their capabilities. The term is used (inaccurately) to mean the same thing as the more traditional operational data stores of the 1980s and 1990s. This is quite maddening because misusing the term adversely affects understanding modern design options of Enterprise Data Management (EDM) and MDM solutions that are enabled by data hubs.

There are some key characteristics and features of data hubs that often are underestimated or misunderstood by enterprise architects and systems integrators. Here are two of the most common misconceptions:

Misconception 1: Data must be cleansed and standardized before it is loaded into the data hub.

For many professionals brought up on the concepts of operational data stores, data warehouses and ETL (extract, transfer and load), this is an undisputable truth. Data must be first cleansed before the inbound processes load the data in the hub. With this principle in mind, a data hub is just another data repository or database used for storage of cleansed data content, oftentimes used to build data warehousing dimensions.

The reality nowadays for data hubs includes a much more active approach to data than just storage of a golden record. The data hub makes the best decisions on entity and relationship resolution by arbitrating the content of data created or modified in the source systems. Expressed differently, a data hub operates as a “service” responsible for the creation and maintenance of master entities and relationships.

Related Search Term(s): databases

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