Splunk 8.1 Fundamentals Part 2

Splunk 8.1 Fundamentals Part 2

Upcoming Classes

Online

Instructor-led online training

Location Jan 2021 Feb 2021 Mar 2021 Apr 2021 May 2021 Jun 2021 Jul 2021
AMER Pacific Time - Virtual Jan 25 – Jan 28
Feb 1 – Feb 4
Feb 8 – Feb 11
Feb 22 – Feb 25
Mar 1 – Mar 4
Mar 8 – Mar 11
Mar 15 – Mar 18
Mar 22 – Mar 25
APAC Singapore - Virtual Feb 2 – Feb 5
Feb 15 – Feb 18
Mar 2 – Mar 5
Mar 15 – Mar 18
Mar 29 – Apr 1
AMER Eastern Time - Virtual Feb 9 – Feb 12
Feb 16 – Feb 19
Feb 22 – Feb 25
Mar 1 – Mar 4
Mar 8 – Mar 11
Mar 15 – Mar 18
Mar 22 – Mar 25
EMEA UK Time - Virtual Feb 9 – Feb 12
Feb 16 – Feb 19
Feb 23 – Feb 26
Mar 2 – Mar 5
Mar 8 – Mar 11
Mar 15 – Mar 18
Mar 22 – Mar 25
Mar 29 – Apr 1

Korea, Republic of

Location Jan 2021 Feb 2021 Mar 2021 Apr 2021 May 2021 Jun 2021 Jul 2021
HancomMDS Jan 28 – Jan 29

Australia

Location Jan 2021 Feb 2021 Mar 2021 Apr 2021 May 2021 Jun 2021 Jul 2021
Ingeniq - Online Feb 9 – Feb 12
Mar 12

Japan

Location Jan 2021 Feb 2021 Mar 2021 Apr 2021 May 2021 Jun 2021 Jul 2021
Japan Third Party Co.,Ltd. Feb 17 – Feb 19

Summary

This course picks up where Splunk Fundamentals Part 1 leaves off, focusing on more advanced searching and reporting commands as well as on the creation of knowledge objects. Scenario-based examples and hands-on challenges coach you step-by-step through the creation of complex searches, reports, and charts. Major topics include using transforming commands and visualizations, filtering and formatting results, correlating events, creating knowledge objects, using field aliases and calculated fields, creating tags and event types, using macros, creating workflow actions and data models, and normalizing data with the Common Interface Model (CIM).

Description

  • Transforming commands and visualization
  • Filtering and formatting Results
  • Correlating events
  • Knowledge objects
  • Fields (Field aliases, field extractions, calculated fields)
  • Tags and event types
  • Macros
  • Workflow actions
  • Data models
  • Splunk Common Information Model (CIM)

Duration

4 Days

Objectives

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

Prerequisites

Splunk Fundamentals 1

 

Onsite Training

For groups of three or more

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Public Training

AMER Pacific Time - Virtual

Gyeonggi-do

APAC Singapore - Virtual

Chatswood, NSW

AMER Eastern Time - Virtual

EMEA UK Time - Virtual

Tokyo


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