Creating Spaces and Dashboards in Kibana 7.6

2.5 hours
  • 3 Learning Objectives

About this Hands-on Lab

Arranging visualizations into dashboards, and then categorizing and sharing dashboards through spaces, are at the core of how Kibana can be used to glean insights from many disparate datasets, while maintaining a cohesive user experience. In this hands-on lab, you will get to create purposeful Kibana spaces in which you can build and organize categorically-related dashboards.

Learning Objectives

Successfully complete this lab by achieving the following learning objectives:

Create the Logs Space and Dashboard
  1. Export all saved objects based off the logs dataset from the default space.
  2. Create a new space called "Logs."
  3. Switch to the Logs space and import the logs objects.
  4. Create a new dashboard called "Logs" that incorporates all the imported logs visualizations.
Create the eCommerce Space and Dashboard
  1. Export all saved objects based off the ecommerce dataset from the default space.
  2. Create a new space called "eCommerce."
  3. Switch to the eCommerce space and import the ecommerce objects.
  4. Create a new dashboard called "eCommerce" that incorporates all the imported ecommerce visualizations.
Create the Flights Space and Dashboard
  1. Export all saved objects based off the flights dataset from the default space.
  2. Create a new space called "Flights."
  3. Switch to the Flights space and import the flights objects.
  4. Create a new dashboard called "Flights" that incorporates all the imported flights visualizations.

Additional Resources

You work as a data visualization specialist for a data analysis company. You have been tasked with migrating the following dataset's visualizations into separate Kibana spaces before creating a dashboard for each dataset:

Logs

  • Export all saved objects based off the logs dataset from the default space.
  • Create a new space called Logs.
  • Switch to the Logs space and import the logs objects.
  • Create a new dashboard called Logs that incorporates all the imported logs visualizations.

eCommerce

  • Export all saved objects based off the ecommerce dataset from the default space.
  • Create a new space called eCommerce.
  • Switch to the eCommerce space and import the ecommerce objects.
  • Create a new dashboard called eCommerce that incorporates all the imported ecommerce visualizations.

Flights

  • Export all saved objects based off the flights dataset from the default space.
  • Create a new space called Flights.
  • Switch to the Flights space and import the flights objects.
  • Create a new dashboard called Flights that incorporates all the imported flights visualizations.

Your lab node node has an Kibana instance which can be accessed in your local web browser by navigating to the public IP address of the lab node over port 8080 (example: http://public_ip:8080). To log in, use the elastic user with the password elastic_acg.

What are Hands-on Labs

Hands-on Labs are real environments created by industry experts to help you learn. These environments help you gain knowledge and experience, practice without compromising your system, test without risk, destroy without fear, and let you learn from your mistakes. Hands-on Labs: practice your skills before delivering in the real world.

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