July 2015
Beginner to intermediate
506 pages
10h 22m
English
Content preview from Implementing Splunk (Update)Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Chapter 4. Data Models and Pivots
In this chapter, we will introduce the following:
- Data Models
- Pivots (along with pivot elements and filters)
- Sparklines
So let's get started.
In Splunk, data models and pivots should be discussed together because data models drive (Splunk) pivots. So let's start by defining data models.
What is a data model?
The Splunk product documentation (2015) defines a data model as:
a hierarchically structured, search-time mapping of semantic knowledge about one or more datasets (that encode the domain knowledge necessary to generate specialized searches of those datasets) so that Splunk can use these specialized searches to generate reports and charts for pivot users.
Data models enable you to create Splunk reports and dashboards ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.