Elasticsearch 7 and Elastic Stack - In Depth and Hands On! - Playing with the Kibana Interface

The video tutorial introduces Kibana, highlighting its intuitive interface and encouraging exploration. It guides viewers through setting up a Shakespeare index, using discover mode to gain insights, and visualizing data with various charts. Advanced visualization techniques, such as tag clouds, are explored, and the use of dev tools for executing JSON requests is demonstrated. The tutorial concludes with encouragement to further explore Kibana's capabilities.

What is the best way to learn Kibana according to the introduction?

• Experimenting and exploring

• Reading the manual thoroughly

• Watching tutorial videos

• Attending a workshop

What is the first step in setting up the Shakespeare index in Kibana?

• Creating a new dashboard

• Configuring user permissions

• Setting up an index pattern

• Importing data from a CSV file

In the Discover mode, what can you do with the Shakespeare data?

• Delete unwanted lines from the plays

• Edit the text of the plays

• Translate the plays into different languages

• Search for specific terms and visualize data

Which play uses the word 'die' the most according to the data exploration?

• Macbeth

• Hamlet

• Measure for Measure

• Romeo and Juliet

What is a key feature of Kibana's Discover tab?

• It provides a space for data visualization

• It allows for real-time data editing

• It enables detailed data exploration and filtering

• It offers a tutorial for new users

Which character is noted for saying 'die' the most in Shakespeare's plays?

• Hamlet

• Macbeth

• Isabella

• Othello

What type of visualization is used to show word frequency in Shakespeare's plays?

• Tag cloud

• Line chart

• Scatter plot

• Pie chart

What is the benefit of using Kibana's visualization tools?

• They enable data export to Excel

• They provide interactive and graphical data representation

• They allow for data encryption

• They offer automatic data correction

What does the tag cloud visualization in Kibana represent?

• The sentiment analysis of text

• The frequency of words or phrases

• The geographical distribution of data

• The chronological order of events

What is the purpose of Kibana's Dev Tools?

• To import data from external sources

• To manage user accounts

• To execute raw JSON requests

• To create new visualizations