One of the most important steps in desiging a database is establishing the data model. Part one of a two-part article describes how to create a logical model.

Data modeling is the process of defining datapoints and struc­tures at a detailed or abstract level to communicate information about the data shape, content, and relationships to target audiences.

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. Instead of ...

Prior to 2008, whatever your database question, the answer was always,“Oracle”—or sometimes, “MySQL” or, “SQL Server.” The relational database management system (RDBMS) model—really a triumvirate of ...

There is a key reason that companies are increasingly turning to enterprise solutions such as Couchbase Inc. for a combined relational and NoSQL database model. It’s because data is on the move ...

For example, document, graph, relational, and key-value models are examples of data models that may be supported by a multi-model database. Having a single data platform for managing both ...

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.

They understand data modeling, including conceptualization and database optimization, and demonstrate a commitment to continuing education. Data architects have the ability to: ...