SPLK-RMOD - Result Modification

Overview

Duration: 3.0 hours

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.

Objectives

Please refer to course overview.

Content

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

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

Topic 3 – Managing Missing Data

Find missing and null values with the fillnull command

Topic 4 – Modifying Field Values

Understand the eval command
Use conversion and text eval functions to modify field values
Reformat fields with the foreach command

Topic 5 – Normalizing with eval

Normalize data with eval functions
Identify eval functions to use for data and field normalization

Audience

Search Experts Knowledge Managers

Prerequisites

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

How Splunk works
Creating Search queries
Knowledge Objects

Certification

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