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.

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

Search Experts Knowledge Managers

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

• How Splunk works
• Creating Search queries
• Knowledge Objects

Topic 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 thexyseries command

Topic 2 – Modifying Result Sets

Topic 3 – Managing Missing Data

Topic 4 – Modifying Field Values

Topic 5 – Normalizing with eval

Individuals who enroll in this class will also be enrolled in an (eLearning with Labs) component. Completion of labs and quizzes is required in order to receive proof of completion.