Splunk Enterprise Data Administration

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Course Description

This 13.5-hour course is designed for administrators who are responsible for getting data into Splunk Indexers. The course provides the fundamental knowledge of Splunk forwarders and methods to get remote data into Splunk indexers. It covers installation, configuration, management, monitoring, and troubleshooting of Splunk forwarders and Splunk Deployment Server components.

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Instructor-led Training Schedule

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Prerequisite Knowledge

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

Fundamentals 1
Fundamentals 2 (recommended)

Or the following single-subject courses:

What is Splunk?
Intro to Splunk
Using Fields
Introduction to Knowledge Objects
Creating Knowledge Objects
Creating Field Extractions

Students should also understand the following courses:

Splunk Enterprise System Administration (recommended)

Course Topics

Understand sourcetypes
Manage and deploy forwarders
Configure data inputs▪ File monitors
Network inputs (TCP/UDP)
Scripted inputs
HTTP inputs (via the HTTP Event Collector)
Customize the input phase parsing process
Define transformations to modify data before indexing
Define search time knowledge object configurations

Course Objectives

Module 1 -Introduction to Data Administration

Provide an overview of Splunk
Describe the four phases of the distributed model
Describe data input types and metadata settings
Configure initial input testing with Splunk Web
Testing Indexes with Input Staging

Module 2 - Getting Data In - Staging

Identify Splunk configuration files and directories
Describe index-time and search-time precedence
Validate and update configuration files

Module 3 - Configuring Forwarders

Identify the role of production indexers and forwarders
Understand and configure Universal Forwarders
Understand and configure Heavy Forwarders
Understand and configure intermediate forwarders
Identify additional forwarder options

Module 4 - Forwarder Management

Describe Splunk Deployment Server (DS)
Manage forwarders using deployment apps
Configure deployment clients and 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

Module 7 - Agentless Inputs

Create a basic scripted input

Module 8 - Fine Tuning Inputs

Configure Splunk HTTP Event Collector (HEC) agentless input
Describe Splunk App for Stream

Module 9 - Parsing Phase and Data

Identify Linux-specific inputs
Identify Windows-specific inputs

Module 10 - Manipulating Raw Data

Understand the default processing that occurs during input phase
Configure input phase options, such as source type fine-tuning and character set encoding

Module 11 - Supporting Knowledge Objects

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 parsing phase

Module 12 - Creating a Diag

Explain how data transformations are defined and invoked
Use transformations with props.conf and transforms.conf to:
- Mask or delete raw data as it is being indexed
- Override sourcetype or host based upon event values
- Route events to specific indexes based on event content
- Prevent unwanted events from being indexed
Use SEDCMD to modify raw data

Module 13 - Supporting Knowledge Objects

Define default and custom search time field extractions
Identify the pros and cons of indexed time field extractions
Configure indexed field extractions
Describe default search time extractions
Manage orphaned knowledge objects

Splunk Training + Certification