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
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Can I take my courses with me wherever I go?
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