I already read this Explain Data Models (Like I'm Five)
But still not understand what mean Data Models and I need to understand this topic in a short time.
The official documentation from Splunk about this topic is difficult for me understand, most likely
I have low technical knowledge.
Even when I translated half of information about Data Models in Splunk documentation into my native language I still can't understand and visualize all the processes in my head.
Can someone by simple English explain me about Data Models?
Hello @test_qweqwe
It's like a whole set of logs automatically arranged with their rightful fields.
I'll give an example:
Splunk field:
chocolate
Field values of chocolate:
- dark
- milk
drilldown on field values:
dark
- 40%
- 50%
- 80%
milk
- goat's milk
- soy milk
- cow's milk
As per Splunk docs,
Data models are composed of datasets, which can be arranged in hierarchical structures of parent and child datasets. Each child dataset represents a subset of the dataset covered by its parent dataset.
Hope it helps!
Thanks!
Hello @test_qweqwe
It's like a whole set of logs automatically arranged with their rightful fields.
I'll give an example:
Splunk field:
chocolate
Field values of chocolate:
- dark
- milk
drilldown on field values:
dark
- 40%
- 50%
- 80%
milk
- goat's milk
- soy milk
- cow's milk
As per Splunk docs,
Data models are composed of datasets, which can be arranged in hierarchical structures of parent and child datasets. Each child dataset represents a subset of the dataset covered by its parent dataset.
Hope it helps!
Thanks!