Compatible Data Modeling

Conventional data modeling methods do not address designing data systems that directly share their data with other data systems. Therefore, conventional data models always instantiate data systems best characterized as data silos because data silos lack the ability to share their data directly.

Compatible Data Modeling is a relatively straightforward enhancement of conventional data modeling, but the impact is very dramatic. With the addition of Maxxphase Data Compatibility Standard data entities, data models become plug-and-play modules that can be combined (integrated) on-demand. These standard data entities provide a universal interface that allows multiple modular data models to be combined. Combined data models are plugged together to appear as a single data model. This data model combination process is also reversible on-demand.

The critical data model components are Data Compatibility Standard data entities that become the foundation of every compatible data model. The Data Compatibility Standard data entities are designed to encapsulate conventional data models with standardized master metadata. These standard data entities provide the metadata commonality needed to integrate data models.

A new peer entity-relationship has been defined to relate copies of the Data Compatibility Standards across compatible data models. Data integrity enforcement for the peer entity relationships is a patented master data management-type method. When data systems are instantiated from compatible data models, these data systems are also compatible modular components. These compatible data systems freely share their data directly with any other compatible data systems. Compatible Data Modeling is the default data modeling method for Compatible Digital Data Generation data systems.

In Conclusion

Conventional Data Models can only create siloed data systems since the data modeling objects needed to support Compatible Data Modeling are not available with data modeling tools. Since siloed data systems are a recognized hindrance to IT and business, we recommend that siloed data modeling be replaced with Compatible Data Modeling as soon as possible.

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