A statistical model consists of some assumptions that are observed after insights are produced from big data. The insights are then used to form a model so that you can categorize them according to their diversity. This infographic describes exactly which statistical model you should choose so that it meets your need.

A statistical model consists of some assumptions that are observed after insights are produced from big data. The insights are then used to form a model so that you can categorize them according to their diversity. This infographic describes exactly which statistical model you should choose so that it meets your need.

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Data Models Will Be Beautiful Again::  Data modeling has been having a tough time as the IT industry has pivoted to bigdata. With bigdata's external sourcing and so-called unstructured form, data models seemed less relevant. In the new NoSQL world, data modelers struggled to apply tools and techniques grounded in a relational datab ..

Data Models Will Be Beautiful Again:: Data modeling has been having a tough time as the IT industry has pivoted to bigdata. With bigdata's external sourcing and so-called unstructured form, data models seemed less relevant. In the new NoSQL world, data modelers struggled to apply tools and techniques grounded in a relational datab ..

data modeling is dead: long live data modeling!

data modeling is dead: long live data modeling!

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The data modeling process. The figure illustrates the way data models are developed and used today. A conceptual data model is developed based on the data requirements for the application that is being developed, perhaps in the context of an activity model. The data model will normally consist of entity types, attributes, relationships, integrity rules, and the definitions of those objects. This is then used as the start point for interface or database design

The data modeling process. The figure illustrates the way data models are developed and used today. A conceptual data model is developed based on the data requirements for the application that is being developed, perhaps in the context of an activity model. The data model will normally consist of entity types, attributes, relationships, integrity rules, and the definitions of those objects. This is then used as the start point for interface or database design

Relational Model is a data model based on predicate logic and the theory of sets. Relational Model is most commonly used today to manage database.

Relational Model is a data model based on predicate logic and the theory of sets. Relational Model is most commonly used today to manage database.

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