Result Modification

Splunk Training Provider Authorised Learning Partner Australia

The Splunk Education single-subject course module, Result Modification is for power users who want to use commands to manipulate output and normalise 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 normalise fields and field values across multiple data sources.

Splunk Credit Value : 50

Duration : 3 hours
Time : 9:00 am - 12:00 pm AEST

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Result Modification - Splunk Education Single Subject Course Training

The instructor was very responsive to questions and queries both private and Communal.. Final module collaborative lab walkthrough on screen was particularly helpful.

Participant, Splunk Fundamentals 2

Result Modification - Course Topics

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

Class Format

Instructor-led lecture with labs. Delivered via virtual classroom or at your site

Course Prerequisites

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

How Splunk works
Creating Search queries
Knowledge Objects

Course Module Mapping

Result Modification - Audience

Search Expert learning path

Result Modification - Course Objectives

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 – Normalising with eval

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

Splunk Course Schedules and Timezones

Splunk Course are delivered live and in English and provide access to customers spanning multiple timezones.

Dates and times displayed for each course are relative to Australian Eastern Time (AET).

AM Marked Splunk Courses

AM marked courses start at AET 9:00am and finish at AET 1:30pm and are optimal for customers in the following countries and areas;

UTC+10 including Australia (East Coast)
UCT+11/+12 including New Zealand and the Pacific Islands
UTC-8 including USA (West Coast), Canada (West Coast)
UTC-7 including USA (Mid West)

PM Marked Splunk Courses

PM marked courses usually starts at AEDT 12:00pm or AEST 11:00 am and are optimal for customers in the following countries and areas;

UTC+10 including Australia (East Coast)
UCT+11/+12 including New Zealand and the Pacific Islands
UTC-8 including USA (West Coast), Canada (West Coast)
UTC-7 including USA (Mid West)