Splunk Enterprise Data Administration

Course structure

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