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Data Warehouse Model Quality

Click here to learn more about author Michael Blaha. This is the second of a two-part series about data model quality. This blog discusses quality for data warehouses. The prior month’s blog discussed quality for operational applications. Data warehouses have a much different architecture and different business motivations than operational applications. For example, operational applications […]

Data-Ed Webinar: Data Architecture Requirements

To view just the slides from this presentation, click HERE>> About the Webinar Data architecture is foundational to an information-based operational environment. It is data architecture that organizes data assets so they can be used in your business strategy to create real business value.  Even though this is important, data architectures are still being used […]

Data-Ed Slides: Data Architecture Requirements

Data-Ed Online Webinar: Data Architecture Requirements from DATAVERSITY To view the On Demand recording of this presentation, click HERE>> About the Webinar Data architecture is foundational to an information-based operational environment. It is data architecture that organizes data assets so they can be used in your business strategy to create real business value.  Even though […]

A Conceptual Data Model is Physical

Click here to learn more about Donna Burbank. Conceptual data models are a tool that I use frequently in my consulting practice, and I’ve found them invaluable as a way to communicate technical information concepts to a business audience. But, too often, the term “conceptual data model” comes with some negative baggage. Perhaps it is the […]

Operational Data Model Quality

Click to learn more about author Michael Blaha. Quality is an underappreciated aspect of data models. The purpose of a model is not just to capture the business requirements, but also to represent them well. A high quality model lessens the complexity of development, reduces the likelihood of bugs, and enhances the ability of a […]