Data Visualization with Kibana

Data Visualization with Kibana, available at $74.99, has an average rating of 4.4, with 59 lectures, based on 4354 reviews, and has 25996 subscribers.

You will learn about Fundamentals of Kibana Securing Kibana (users, roles, and spaces) Creating basic & advanced visualizations Kibana Query Language (KQL) Creating and interacting with dashboards Reporting and Alerting This course is ideal for individuals who are Developers wanting to work with and visualize Elasticsearch data It is particularly useful for Developers wanting to work with and visualize Elasticsearch data.

Enroll now: Data Visualization with Kibana

Summary

Title: Data Visualization with Kibana

Price: $74.99

Average Rating: 4.4

Number of Lectures: 59

Number of Published Lectures: 59

Number of Curriculum Items: 59

Number of Published Curriculum Objects: 59

Original Price: $109.99

Quality Status: approved

Status: Live

What You Will Learn

Fundamentals of Kibana

Securing Kibana (users, roles, and spaces)

Creating basic & advanced visualizations

Kibana Query Language (KQL)

Creating and interacting with dashboards

Reporting and Alerting

Who Should Attend

Developers wanting to work with and visualize Elasticsearch data

Target Audiences

Developers wanting to work with and visualize Elasticsearch data

Are you a software developer, and do you want to learn Kibana? Then look no further — you have come to the right place! This course is the best way for you to quickly learn Kibana and put your knowledge to use within just a few hours. Forget about watching countless of YouTube tutorials, webinars, and blog posts; this course is the single resource you need to learn Kibana. In fact, this is by far the most comprehensive course on Kibana you will find!

So what is Kibana, and why should you take the time to learn it? Kibana is part of the ELK stack (Elasticsearch, Logstash, Kibana) and the Elastic Stack. It’s often referred to as the window into Elasticsearch. With Kibana, you can visualize the data stored within an Elasticsearch cluster. This includes everything from running ad hoc queries, creating visualizations such as line charts and pie charts, and displaying data on dashboards. Kibana enables you to easily interact with your data, providing a much better experience than writing Elasticsearch queries. Slicing and dicing data is easy, and navigating between different datasets can be done without losing context. As such, Kibana is an excellent tool for data analysis, exploration, and investigation. Dashboards are a key feature, enabling us to provide ourselves and teams with overviews of relevant data. For instance, we could create a dashboard for a sales department, and another for software engineers.

Kibana is also commonly used for monitoring data, for instance in the context of observability. By using Kibana and the Elastic Stack for observability, you can gain insight into the performance of applications (APM), monitor service uptime, keep an eye on hardware and service utilization, etc. Apart from that, Kibana is also frequently used for security analysis and managing machine learning jobs.

Needless to say, Kibana is an incredibly powerful tool for visualizing, analyzing, and monitoring Elasticsearch data.

Course Curriculum

Chapter 1: Getting Started

Lecture 1: Introduction to the course

Lecture 2: Introduction to Kibana

Lecture 3: Overview of installation options

Lecture 4: Running Elasticsearch & Kibana in Elastic Cloud

Lecture 5: Setting up Elasticsearch & Kibana on macOS & Linux

Lecture 6: Setting up Elasticsearch & Kibana on Windows

Lecture 7: Activating trial license

Lecture 8: The Console tool

Lecture 9: Adding index templates

Lecture 10: Importing test data

Lecture 11: Introduction to the test data

Lecture 12: Creating data views

Lecture 13: Data views used to be called index patterns

Chapter 2: Introduction to the interface

Lecture 1: Overview of apps

Lecture 2: Setting the time filter

Lecture 3: Kibana Query Language (KQL)

Lecture 4: Discover app

Lecture 5: Saving queries

Lecture 6: Inspecting requests

Lecture 7: How Kibana handles time zones

Lecture 8: Changing Kibana’s time zone

Chapter 3: Visualizations

Lecture 1: Introduction to visualizations

Lecture 2: Introduction to aggregations

Lecture 3: Updates to the user interface

Lecture 4: Metric visualization

Lecture 5: Formatting numbers

Lecture 6: Vertical Bar

Lecture 7: Area chart

Lecture 8: Line chart

Lecture 9: Changing the chart type

Lecture 10: Pie chart

Lecture 11: Splitting with KQL filters

Lecture 12: Working with numeric ranges

Lecture 13: Working with dynamic ranges (histograms)

Lecture 14: Customizing visualizations

Lecture 15: Data tables

Lecture 16: Heat maps

Lecture 17: Tag clouds

Lecture 18: Goals & Gauges

Lecture 19: Linking visualizations to saved searches

Lecture 20: Applying saved queries to visualizations

Chapter 4: Dashboards

Lecture 1: Introduction to dashboards

Lecture 2: Creating a dashboard

Lecture 3: Editing visualizations

Lecture 4: Filtering documents

Lecture 5: Inspecting panels

Lecture 6: Creating the access logs dashboard

Lecture 7: Interactivity

Lecture 8: Drilldowns

Chapter 5: Users, Roles & Spaces

Lecture 1: Introduction

Lecture 2: Enabling security features

Lecture 3: Introduction to spaces

Lecture 4: Copying objects between spaces

Lecture 5: Creating and managing users

Lecture 6: Introduction to roles

Lecture 7: Configuring privileges with custom roles

Lecture 8: Combining space and role privileges

Lecture 9: How role privileges are merged

Lecture 10: Wrap up

Instructors

Bo Andersen
Lead Developer

Rating Distribution

1 stars: 22 votes

2 stars: 43 votes

3 stars: 361 votes

4 stars: 1709 votes

5 stars: 2224 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!