9. What is a data model?

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.

10. Difference between event root data set & search root data set?

event root data set: you cannot give any pipeline search

search root data set: you can use stats search or complex query

11. In how many ways Datasets break down?

These types are: Event datasets, search datasets, transaction datasets, and child datasets.

12. Explain pivot and data models?

Pivots are used to create the front views of your output and then choose the proper filter for a better view of this output. Both options are beneficial for the people from a semi-technical or non-technical background.

Data models are most commonly used for creating a hierarchical model of data. However, it can also be used when you have a large amount of unstructured data. It helps you make use of that information without using complicated search queries

13. Explain Data Models and Pivot?

Data models are used for creating a structured hierarchical model of your data. It can be used when you have a large amount of unstructured data, and when you want to make use of that information without using complex search queries.

14. List few use cases of Data models?

Create sales Reports:If you have sales report then you can easily create the total number of successful purachses.
Set access levels:If you want a structured view of users and their various access levels you can use a data model.
Enable authentication: If you want structure in the authentication, you can create a model around VPN, root access, admin access, non-root admin access, authentication on various different applications to create a structure around it in a way that normalizes the way you look at data. So when you look at a data model called authentication, it will not matter to Splunk what the source is, and from a user perspective it becomes extremely simple because as and when new data sources are added or when old one’s are deprecated, you do not have to rewrite all your searches and that is the biggest benefit of using data models and pivots.