Splunk Search Expert Fast Start (SE-FS) Online

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Starting date and place

Splunk Search Expert Fast Start (SE-FS) Online

Fast Lane Institute for Knowledge Transfer GmbH
Logo Fast Lane Institute for Knowledge Transfer GmbH
Provider rating: starstarstarstarstar_half 9.0 Fast Lane Institute for Knowledge Transfer GmbH has an average rating of 9.0 (out of 34 reviews)

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Starting dates and places
computer Online: Online Training
27 Jul 2026 until 29 Jul 2026
computer Online: Online Training
14 Sep 2026 until 16 Sep 2026
computer Online: Online Training
26 Oct 2026 until 28 Oct 2026
computer Online: Online Training
7 Dec 2026 until 9 Dec 2026
Description

Kursinhalt

  • Working with Time (WWT)
  • Statistical Processing (SSP)
  • Comparing Values (SCV)
  • Result Modification (SRM)
  • Leveraging Lookups and Subsearches (LLS)
  • Correlation Analysis (SCLAS)

Voraussetzungen

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

  • How Splunk Works
  • Creating Search queries
  • Knowledge objects (specifically reports, lookups, and fields)

OR have taken the following:

  • Foundation Fast Start OR
  • What is Splunk? (Retired), Intro to Splunk (ITS) and [Using Fields (SUF)

Detaillierter Kursinhalt

Topic 1 – Working with Time

  • Searching with Time
  • Formatting Time
  • Comparing index Time versus Search Time
  • Using Time Commands
  • Working with Time Zones

Topic …

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Frequently asked questions

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Kursinhalt

  • Working with Time (WWT)
  • Statistical Processing (SSP)
  • Comparing Values (SCV)
  • Result Modification (SRM)
  • Leveraging Lookups and Subsearches (LLS)
  • Correlation Analysis (SCLAS)

Voraussetzungen

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

  • How Splunk Works
  • Creating Search queries
  • Knowledge objects (specifically reports, lookups, and fields)

OR have taken the following:

  • Foundation Fast Start OR
  • What is Splunk? (Retired), Intro to Splunk (ITS) and [Using Fields (SUF)

Detaillierter Kursinhalt

Topic 1 – Working with Time

  • Searching 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 – Leveraging Lookups and Subsearches

  • Using Lookup Commands
  • Adding a Subsearch
  • Using the return Command

Topic 6 - Correlation Analysis

  • Caclulate Co-Occurance Between Fields
  • Analyze Multiple Datasets
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    There are no frequently asked questions yet. If you have any more questions or need help, contact our customer service.