InfoQ: What are the steps in a typical NoSQL data modeling process? Desmarets: When it comes to modeling with NoSQL, the biggest difference is that rules of normalization don't apply.

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.

It entails putting data objects, their relationships and the rules governing them into visual form. Because it calls on diverse expertise, data modeling is rarely a one-time solo effort.

Additionally, having data model reviews can be a way to establish quality outputs and potentially then require less documentation. In an environment utilizing reviews, some doc­uments supporting the ...

SEE: Job description: Big data modeler (TechRepublic Premium) For starters, data modeling can be used in both the pre- and post-processing phases of the data analytics process.

Strict training data management is needed throughout the model-building process by controlling and mediating the influence of multiple stakeholders. The scope and definitions of the model need to ...

Using a think-aloud process-tracing methodology, we examine the data modeling behavior as a set of activities that are managed by several heuristics. We found that some heuristics were effective in ...

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

With this data, an engineer can then model the resulting 3D (simulated) structure if a new process is performed on the incoming structure. If the model mimics actual process behavior accurately, and ...