Skip to main content

Splunk Training + Certification

Result Modification

Course Description

This three-hour course is for power users who want to use commands to manipulate output and normalize data. Topics will focus on specific commands for manipulating fields and field values, modifying result sets, and managing missing data. Additionally, students will learn how to use specific eval command functions  to normalize fields and field values across multiple data sources. 

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.


Prerequisite Knowledge

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

  • How Splunk works
  • Creating search queries
  • Knowledge objects

Course Topics

  • Manipulating Output
  • Modifying Result Sets
  • Managing Missing Data
  • Modifying Field Values
  • Normalizing with eval

Course Objectives

Module 1 - Manipulating Output
  • Convert a 2-D table into a flat table with the untable command
  • Convert a flat table into a 2-D table with the xyseries command


Module 2 - Modifying Result Sets
  • Append data to search results with the appendpipe command
  • Calculate event statistics with the eventstats command
  • Calculate "streaming" statistics with the streamstats command
  • Modify values to segregate events with the bin command


Module 3 - Managing Missing Data
  • Find missing and null values with the fillnull command


Module 4 - Modifying Field Values
  • Understand the eval command
  • Use conversion and text eval functions to modify field values
  • Reformat fields with the foreach command


Module 5 - Normalizing with eval
  • Normalize data with eval functions
  • Identify eval functions to use for data and field normalization