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Splunk Training + Certification

Data Models

Course Description

This three-hour course is for knowledge managers 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.

Instructor-led Training Schedule

eLearning with Labs

The best of both delivery methods. Self-paced eLearning videos accessible anytime, anywhere, plus access to the interactive lab environment to sharpen your skills.

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Prerequisite Knowledge

To be successful, students should have a solid understanding of the
following:

  • How Splunk works
  • Creating search queries
  • Knowledge objects

Course Topics

  • Introducing Data Model Datasets
  • Designing Data Models
  • Creating a Pivot
  • Accelerating Data Models

Course Objectives

Module 1 - Introducing Data Model Datasets
  • Understand data models
  • Add event, search, and transaction datasets to data models
  • Identify event object hierarchy and constraints
  • Add fields based on eval expressions to transaction datasets

 

Module 2 - Designing Data Models
  • Create a data model
  • Add root and child datasets to a data model
  • Add fields to data models
  • Test a data model
  • Define permissions for a data model
  • Upload/download a data model for backup and sharing

 

Module 3 - Creating a Pivot
  • Identify benefits of using Pivot
  • Create and configure a Pivot
  • Visualize a Pivot
  • Save a Pivot
  • Use Instant Pivot
  • Access underlying search for Pivot

 

Module 4 - Accelerating Data Models
  • Understand the difference between ad-hoc and persistent data model acceleration
  • Accelerate a data model
  • Describe the role of tsidx files in data model acceleration
  • Review considerations about data model acceleration