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Data Visualization with Kibana

5h 16m 55s
English
Paid

Are you a software developer looking to master Kibana? Then look no further — you have come to the right place! This course is the ultimate resource for quickly learning Kibana and applying your skills within just a few hours. Forget about sifting through countless YouTube tutorials, webinars, and blog posts; this course is your one-stop solution to becoming proficient in Kibana. It is, by far, the most comprehensive course on Kibana you will find!

Why Learn Kibana?

Kibana is a key component of the ELK stack (Elasticsearch, Logstash, and Kibana) and the Elastic Stack. Often regarded as the window into Elasticsearch, Kibana allows you to visualize data stored within an Elasticsearch cluster. From running ad hoc queries, creating visualizations such as line and pie charts, to displaying data on dashboards — Kibana offers a user-friendly interface for interacting with your data. This makes it significantly easier to analyze data compared to manually writing Elasticsearch queries. It also supports efficient data slicing and dicing without losing context, proving to be an excellent tool for data analysis, exploration, and investigation.

Dashboards and Data Monitoring

Dashboards in Kibana are an integral feature, allowing users to compile relevant data overviews for themselves and their teams. For example, you could create tailored dashboards for sales departments and software engineering teams. Additionally, Kibana is widely used for data monitoring, particularly in observability contexts. Using Kibana with the Elastic Stack for observability enables insights into application performance (APM), service uptime monitoring, hardware and service utilization, among other aspects.

Other Applications of Kibana

Apart from monitoring, Kibana is commonly utilized in security analysis and managing machine learning jobs. With its robust capabilities, Kibana is an incredibly powerful tool for visualizing, analyzing, and monitoring Elasticsearch data.

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#1: Introduction to the course
All Course Lessons (56)
#Lesson TitleDurationAccess
1
Introduction to the course Demo
05:31
2
Introduction to Kibana
04:09
3
Overview of installation options
02:43
4
Running Elasticsearch & Kibana in Elastic Cloud
05:42
5
Installing Kibana on macOS and Linux
04:00
6
Activating trial license
02:09
7
Console tool
03:42
8
Adding index templates
04:55
9
Importing test data
06:03
10
Introduction to the test data
08:50
11
Creating index patterns
07:13
12
Overview of apps
15:44
13
Setting the time filter
03:46
14
Kibana Query Language (KQL)
09:21
15
Discover app
12:46
16
Saving queries
03:19
17
Inspecting requests
02:28
18
How Kibana handles time zones
06:31
19
Changing Kibana’s time zone
02:35
20
Introduction to visualizations
01:13
21
Introduction to aggregations
04:11
22
Metric visualization
10:09
23
Formatting numbers
02:57
24
Vertical Bar
06:46
25
Area chart
06:04
26
Line chart
06:13
27
Changing the chart type
02:30
28
Pie chart
06:38
29
Splitting with KQL filters
03:49
30
Working with numeric ranges
02:38
31
Working with dynamic ranges (histograms)
07:59
32
Customizing visualizations
06:06
33
Data tables
09:31
34
Heat maps
09:00
35
Tag clouds
04:04
36
Goals & Gauges
09:02
37
Linking visualizations to saved searches
04:36
38
Applying saved queries to visualizations
01:49
39
Introduction to dashboards
01:40
40
Creating a dashboard
06:38
41
Editing visualizations
04:35
42
Filtering documents
01:52
43
Inspecting panels
02:11
44
Creating the access logs dashboard
02:38
45
Interactivity
04:38
46
Drilldowns
10:12
47
Introduction
01:22
48
Enabling security features
07:11
49
Introduction to spaces
09:05
50
Copying objects between spaces
10:11
51
Creating and managing users
03:29
52
Introduction to roles
06:32
53
Configuring privileges with custom roles
09:50
54
Combining space and role privileges
11:27
55
How role privileges are merged
05:20
56
Wrap up
01:22
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