Introduction to Dashboards (ITD)

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Introduction to Dashboards (ITD)

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
placeMünchen
3 Jun 2026
placeBerlin
15 Jul 2026
placeHannover
5 Aug 2026
placeMünchen
16 Sep 2026
placeFrankfurt
30 Sep 2026
placeStuttgart
21 Oct 2026
placeHamburg
9 Dec 2026
Description

Kursinhalt

This four-and-a-half hour course teaches students how to create dashboards in Dashboard Studio. Students will learn the basics of the dashboard source code, dashboard layout types, how to select a data source, and improve dashboard performance.

Voraussetzungen

To be successful, students must have a solid understanding of these courses:

  • Intro to Splunk
  • Using Fields (SUF)
  • Search Optimization (SSO)

Or the following legacy courses:

  • Splunk Fundamentals 1&2 (Retired)

To be successful, students are recommended (but not required) to have a solid understanding of these courses:

  • Intro to Knowledge Objects
  • Visualizations

Detaillierter Kursinhalt

Topic 1 – Create a Prototype

  • Descr…

Read the complete description

Frequently asked questions

There are no frequently asked questions yet. If you have any more questions or need help, contact our customer service.

Kursinhalt

This four-and-a-half hour course teaches students how to create dashboards in Dashboard Studio. Students will learn the basics of the dashboard source code, dashboard layout types, how to select a data source, and improve dashboard performance.

Voraussetzungen

To be successful, students must have a solid understanding of these courses:

  • Intro to Splunk
  • Using Fields (SUF)
  • Search Optimization (SSO)

Or the following legacy courses:

  • Splunk Fundamentals 1&2 (Retired)

To be successful, students are recommended (but not required) to have a solid understanding of these courses:

  • Intro to Knowledge Objects
  • Visualizations

Detaillierter Kursinhalt

Topic 1 – Create a Prototype

  • Describe dashboard framework
  • Compare layout types
  • Add visualizations
  • Manage views

Topic 2 – Selecting a Data Source

  • Define the dataSources stanza
  • Explain how mock data is used
  • Create event annotations

Topic 3 – Improving Performance

  • Identify performance improvement methods
  • Use tstats and an accelerated data model
  • Create base and chain searches
  • Set dashboard defaults
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    There are no frequently asked questions yet. If you have any more questions or need help, contact our customer service.