Assignment Details Su22 - CPS 401 - Defensive Security Purpose This SPLUNK eLearning course introduces students who want to learn how to create and accelerate data models. Topics will cover datasets, designing data models, using the Pivot editor, and accelerating data models. : A data model is a hierarchically structured search-time mapping of semantic knowledge about one or more datasets. It encodes the domain knowledge necessary to build a variety of specialized searches of those datasets. These specialized searches are used by Splunk software to generate reports for Pivot users. Data models drive the pivot tool. Data models enable users of Pivot to create compelling reports and dashboards without designing the searches that generate them. Data models can have other uses, especially for Splunk app developers. Splunk knowledge managers design and maintain data models. These knowledge managers understand the format and semantics of their indexed data and are familiar with the Splunk search language. In building a typical data model, knowledge managers use knowledge object types such as lookups, transactions, search-time field extractions, and calculated fields.

Assignment Details Su22 - CPS 401 - Defensive Security Purpose This SPLUNK eLearning course introduces students who want to learn how to create and accelerate data models. Topics will cover datasets, designing data models, using the Pivot editor, and accelerating data models. : A data model is a hierarchically structured search-time mapping of semantic knowledge about one or more datasets. It encodes the domain knowledge necessary to build a variety of specialized searches of those datasets. These specialized searches are used by Splunk software to generate reports for Pivot users. Data models drive the pivot tool. Data models enable users of Pivot to create compelling reports and dashboards without designing the searches that generate them. Data models can have other uses, especially for Splunk app developers. Splunk knowledge managers design and maintain data models. These knowledge managers understand the format and semantics of their indexed data and are familiar with the Splunk search language. In building a typical data model, knowledge managers use knowledge object types such as lookups, transactions, search-time field extractions, and calculated fields.

Fundamentals of Information Systems

8th Edition

ISBN:9781305082168

Author:Ralph Stair, George Reynolds

Publisher:Ralph Stair, George Reynolds

Chapter7: Knowledge Management And Specialized Information Systems

Section: Chapter Questions

Problem 13SAT

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Therefore, why isn't an object's presence in a data model required?
An idea-organizing data model.
The model mimics the hierarchical model in many aspects.
Why is it sometimes better for a data model to exclude a certain data item from its representation?
A prescriptive model is considerably unlike from a descriptive model.
A descriptive model is characterised by its fundamental characteristics and attributes.
If a data object isn't in a data model, why is that?
What characteristics of a model make it prescriptive?
Why should a data object not be added to a data model?
Why is it not suggested to add a data object to a data model if doing so is not encouraged?
There are several distinctions between a descriptive model and a prescriptive model.