Splunk Fundamentals 2 (SF2) – Outline

Detailed Course Outline

Module 1 - Introduction

  • Overview of Buttercup Games Inc.
  • Lab environment

Module 2 - Beyond Search Fundamentals

  • Search fundamentals review
  • Case sensitivity
  • Using the job inspector to view search performance

Module 3 - Using Transforming Commands for Visualizations

  • Explore data structure requirements
  • Explore visualization types
  • Create and format charts and timecharts

Module 4 - Using Mapping and Single Value Commands

  • The iplocation command
  • The geostats command
  • The geom command
  • The addtotals command

Module 5 - Filtering and Formatting Results

  • The eval command
  • Using the search and where commands to filter results
  • The filnull command

Module 6 - Correlating Events

  • Identify transactions
  • Group events using fields
  • Group events using fields and time
  • Search with transactions
  • Report on transactions
  • Determine when to use transactions vs. stats

Module 7 - Introduction to Knowledge Objects

  • Identify naming conventions
  • Review permissions
  • Manage knowledge objects

Module 8 - Creating and Managing Fields

  • Perform regex field extractions using the Field Extractor (FX)
  • Perform delimiter field extractions using the FX

Module 9 - Creating Field Aliases and Calculated Fields

  • Describe, create, and use field aliases
  • Describe, create and use calculated fields

Module 10 - Creating Tags and Event Types

  • Create and use tags
  • Describe event types and their uses
  • Create an event type

Module 11 - Creating and Using Macros

  • Describe macros
  • Create and use a basic macro
  • Define arguments and variables for a macro
  • Add and use arguments with a macro

Module 12 - Creating and Using Workflow Actions

  • Describe the function of GET, POST, and Search workflow actions
  • Create a GET workflow action
  • Create a POST workflow action
  • Create a Search workflow action

Module 13 - Creating Data Models

  • Describe the relationship between data models and pivot
  • Identify data model attributes
  • Create a data model
  • Use a data model in pivot

Module 14 - Using the Common Information Model (CIM) Add-On

  • Describe the Splunk CIM
  • List the knowledge objects included with the Splunk CIM Add-On
  • Use the CIM Add-On to normalize data