Splunk Training Provider Authorised Learning Partner Australia

Splunk Enterprise Data Administration

The Splunk Enterprise Data Administration course is designed for system administrators who are responsible for getting data into Splunk Indexers.


The Splunk Enterprise Data Administration course provides the fundamental knowledge of Splunk forwarders and methods to get remote data into Splunk indexers. It covers installation, configuration, management, monitoring, troubleshooting of Splunk forwarders and Splunk Deployment Server components.

Units : 3
Duration : 13.5 hours over 3 days
Time : 9:00 am – 1:30 pm AEST (GMT +10)

*Course discounts apply for Splunk Partners. Please use the currency convertor above to check for course pricing in your local currency.

Splunk Enterprise Data Administration

The instructor was very patient and worked with everyone who had issues and sorted them out.
Thanks for that.

Participant, Troubleshooting Splunk

Splunk Enterprise Data Administration
Splunk Enterprise Data Administration - Course Topics
  • Create and maintain Splunk indexes

  • Deploy forwarders with Forwarder Management

  • Splunk Configuration Files

  • Configure common Splunk data inputs

  • Customize the input parsing process

Class Format

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

Course Prerequisites

Splunk Fundamentals 1 (Required)

Splunk Fundamentals 2 (Strongly Recommended)

Splunk System Administration (Strongly Recommended)

Related Certifications
Splunk Enterprise Data Administration - Audience

Anyone within a technical role who is involved in the management of Splunk within their organisation or are looking to become Splunk certified. Previous attendees have included IT Administrators, DevOps, Security Analysts and Solution Architects.

After completing Splunk Enterprise Data Administration course you will be able to
  • Install and Configure forwarders

  • Get data into a production environment

  • Maintain and manage forwarders

  • Correctly create and maintain inputs:

    • Files

    • Directories

    • Network

    • Scripted

    • Agentless

  • Understand and work with the data input phases

    • Inputs

    • Parsing

    • Indexing

Splunk Enterprise Data Administration
Splunk Enterprise Data Administration - Course Objectives

Module 1 – Introduction to Data Administration

  • Splunk overview

  • Identify Splunk components

  • Identify Splunk system administrator role

Module 2 – Getting Data In – Staging

  • List the four phases of Splunk Index

  • List Splunk input options

  • Describe the band settings for an input

Module 3 - Getting Data In – Production

  • Understand the role of production Indexers and Forwarders

  • Understand the functionality of Universal Forwarders and Heavy Forwarders

  • Configure Forwarders

  • Identify additional Forwarder options

Module 4 - Forwarder Management

  • Explain the use of Forwarder Management

  • Describe Splunk Deployment Server

  • Manage forwarders using deployment apps

  • Configure deployment clients

  • Configure client groups

  • Monitor forwarder management activities

Module 5 - Monitor Inputs

  • Create file and directory monitor inputs

  • Use optional settings for monitor inputs

  • Deploy a remote monitor input

Module 6 – Network and Scripted Inputs

  • Create network (TCP and UDP) inputs

  • Describe optional settings for network inputs

  • Create a basic scripted input

​Module 7 – Agentless Inputs

  • Identify Windows input types and uses

  • Understand additional options to get data into Splunk

Module 8 –  Fine Tuning Inputs

  • Understand the default processing that occurs during input phase

  • Configure input phase options, such as source type fine-tuning and character set encoding

Module 9– Parsing Phase and Data

  • Understand the default processing that occurs during parsing

  • Optimize and configure event line breaking

  • Explain how timestamps and time zones are extracted or assigned to events

  • Use Data Preview to validate event creation during the parsing phase

Module 10 : Manipulating Raw Data

  • Explain how data transformations are defined and invoked

  • Use transformations with props.conf and transforms.conf

  • Use SEDCMD to modify raw data

Module 11 : Supporting Knowledge Objects

  • Create field extractions

  • Configure collections for KV Store

  • Manage Knowledge Object permissions

  • Control automatic field extraction

Splunk Course Schedules and Timezones

Ingeniq 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 (4.5 hour sessions over 1 or more days) 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 start at AET  2:00pm and finish at AET 6:30pm (4.5 hour sessions over 1 or more days) and are optimal for customers in the following countries and areas;

  • UTC+9 including Japan, Korea

  • UTC+8 including Australia (West Coast), Singapore, Hong Kong, China, Philippines, Brunei, Thailand

  • UTC +5/+6 including India and Sri Lanka

Splunk Enterprise Data Administration - Upcoming Courses