Unified data modeling supports features like document schema of NoSQL databases and reverse engineering of data from an existing database. It also supports visual refactoring of existing databases.

Viewing data modelling as dead or irrelevant arises from these trends that affect data modelling: The rise of NoSQL datastores that offer flexibility using schema-less key-value pairs.

Data modeling is the framework that lets data analysis use data for decision-making. A combined approach is needed to maximize data insights.

Microsoft has made a promised public preview of its Common Data Model (CDM) entity database available to testers. CDM is at the heart of the coming Microsoft Dynamics 365 bundle.

Storing data in multi-model database wards off this problem. As a modern management system, multi-model databases offer an elegant solution to managing diverse and unstructured data.

Alternatively, if a solution is being built internally, an existing canonical data model can be a valuable jump-start to the process of building a physical database design covering one or more areas ...

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This approach features a centralized database linked to other data stores with a common data model that carries information from one point to another, without the need to rewrite code.