Data modeling lives on after the database has been created and deployed, helping us to keep track of changes and adapt our systems accordingly. But in order to understand and leverage data models ...

NoSQL database systems continue to gain traction ... level using a markup language such as JSON (JavaScript Object Notation) or XML. The document data model makes it easy for developers to store and ...

A conceptual data model or conceptual schema is a high-level description of information used in developing an information system, such as database structures. It is a map of concepts and the ...

Data modeling is the procedure of crafting a visual representation of an entire information system or portions of it in order to convey connections between data points and structures. The objective is ...

Aerospike develops the multi-model NoSQL Aerospike database system that the company says delivers predictable performance at scale and can process petabytes of data in real time. Based on a ...

Forbes contributors publish independent expert analyses and insights. The “exciting” things programmers like is making things happen — deep down, every programmer out there got their ...

Some familiarity with object-oriented design, UML, and relational database modeling is assumed ... OID's will depend on the exact requirements of the system being developed. In general we will map the ...

“Now we’ve incorporated the analytics, including modeling and scoring, into the engine as well,” she said Farrell said that having all three steps in the core database engine means that data ...

Data modeling, transformation, DDL script generation, database object creation ... MagicDraw is a business process, architecture, software and system modeling tool that enables all aspects ...