Power User Fast Start (eLearning)

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The training is priced from $ 2000.00 USD per participant


This Power User "Fast Start" course covers over 60 commands, functions, and knowledge objects to provide users with actionable information about searching best practices and knowledge management. Students will learn how to effectively utilize time in searches, work with different time zones, use transforming commands and eval functions to calculate statistics, compare field values with eval functions and eval expressions, manipulate output, normalize fields and field values, correlate and filter data from multiple sources, and create, manage, and share knowledge objects.


Course Topics

  • Working with Time
  • Statistical Processing
  • Comparing Values
  • Result Modification
  • Correlation Analysis
  • Intro to Knowledge Objects
  • Creating Knowledge Objects
  • Creating Field Extractions
  • Data Models

Prerequisite Knowledge

To be successful, students should have a solid understanding of the following:
  • How Splunk works
  • How to create basic searching and visualizations
  • RECOMMENDED: Splunk Foundation Fast Start

Course Objectives

Topic 1 – Working with Time

  • Formatting Time
  • Comparing Index Time versus Search Time
  • Using Time Commands
  • Working with Time Zones
  • Topic 2 – Statistical Processing

    • What is a Data Series?
    • Transforming Data
    • Manipulating Data with eval
    • Formatting Data

    Topic 3 – Comparing Values

    • Using eval to Compare
    • Filtering with where

    Topic 4 – Result Modification

    • Manipulating Output
    • Modifying Results Sets
    • Managing Missing Data
    • Modifying Field Values
    • Normalizing with eval

    Topic 5 – Correlation Analysis

    • Calculate Co-Occurrence Between Fields
    • Analyze Multiple Datasets

    Topic 6 – Intro to Knowledge Objects

    • What are Knowledge Objects?
    • Knowledge Object Settings
    • Managing Knowledge Objects

    Topic 7 – Creating Knowledge Objects

    • Knowledge Objects and Search-time Operations
    • Creating Event Types
    • Using Event Type Builder
    • Creating Workflow Actions
    • Creating Tags and Aliases
    • Creating Search Macros

    Topic 8 – Creating Field Extractions

    • Using the Field Extractor
    • Creating Regex Field Extractions
    • Creating Delimited Field Extractions

    Topic 9 – Data Models

    • Introducing Data Model Datasets
    • Designing Data Models
    • Creating a Pivot
    • Accelerating Data Models

    What You Learn

    • Utilize over 60 commands and functions to transform, manipulate, normalize, correlate, and filter data.
    • Filter data using time modifiers and time commands and use formatting functions to accommodate various time formats.
    • Calculate statistics using transforming commands and mathematical and statistical eval functions.
    • Compare, manipulate, and normalize data using several commands including the all-powerful eval command and an array of statistical, comparison, conditional, and formatting functions.
    • Calculate co-occurrence between fields and analyze data from multiple datasets.
    • Create, curate, manage and share knowledge objects.

    Skills You Will Gain

    Big Data, Business Analytics, Business Intelligence, Data Analysis, Data Analysis Software, Data Science, Data Visualization, Machine Learning, Problem Solving, Statistics, Syntax.