In this course, you will go beyond dashboard basics and learn about Dashboard Studio's underlying framework, the dashboard development process from prototyping and wireframing to troubleshooting as well as adding visualizations, dynamic coloring and drilldowns. Then you will go further by making your dashboards interactive with user inputs. You will learn how to use mock data, add annotation searches to a visualization, and improve dashboard performance. Finally, you will take a deep dive into maps using the classic simple XML framework where you will learn how to create cluster and choropleth maps, customize their color, and make them interactive.
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Splunk Knowledge Manager 103
This course is part of Splunk Knowledge Manager Specialization
Instructor: Splunk Instructor
Included with
What you'll learn
Convert classic dashboards to the Dashboard Studio, define the dashboard definition, manage and troubleshooting dashboards.
Create prototypes, layouts, add and clone visualizations, build dynamic drilldowns, use auto-alignment, customize dashboard backgrounds
Use dynamic coloring for visualizations, set dashboard defaults, define data source types, create search annotations, and more.
Improve dashboard efficiency, schedule, and accelerate reports, use base and chain searches, data models, set dashboard defaults.
Skills you'll gain
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There are 3 modules in this course
This module is designed for users who want to learn best practices for building dashboards in the Dashboard Studio. It focuses on dashboard creation, including prototyping, the dashboard definition, layout types, adding visualizations, and dynamic coloring.
What's included
14 videos2 readings1 assignment
This module is designed for users who want to learn best practices for building dashboards in the Dashboard Studio. It focuses on creating inputs, chain searches, event annotations, and improving dashboard performance.
What's included
19 videos1 reading1 assignment
This module is designed for Splunk users who want to create maps in the classic, simple XML framework. It focuses on the data and components required to create cluster and choropleth maps. It also shows how to format, customize, and make maps interactive.
What's included
10 videos2 readings1 assignment
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