Complete Guide to Data Visualization with Kibana 8

Discover Elasticsearch Data Visualization Mastery: Learn Kibana for creating Visualizations, and build amazing Dashboard

Created by: ‪Idan Chen‬‏
Senior python developer

What Will I Learn?

• Fundamentals of data visualization and best practices for effective visual storytelling.
• Utilization of Kibana's advanced features, such as machine learning, maps, and Canvas.
• Creation of various Kibana visualizations, including bar charts, line charts, pie charts, and more.
• Development of interactive dashboards for effective data presentation and communication.
• Best practices for optimizing Kibana performance, security, and scalability.
• Working with Dev Tools
• Installing Installation and configuration of Kibana for data visualization and exploration and kibana
• Examining and finding data such as logs
• Integration of Kibana with Elasticsearch and other Elastic Stack components.
• Familiarization with Kibana's user interface and navigation of its various features.
• Techniques for ingesting, indexing, and transforming data in Kibana for visualization purposes.
• Real-world use cases and practical applications of Kibana in different industries and domains

Requirements

• Basic Elasticsearch experiment needed

Target audience

• Data analysts seeking to enhance their skills in data visualization and dashboard creation.
• Elasticsearch users who want to leverage Kibana for data exploration and visualizations.
• Data scientists looking to integrate Kibana into their data analysis workflows.
• Business intelligence professionals interested in adding Kibana to their analytics toolbox.
• Developers working with Elasticsearch who want to improve data presentation and reporting.
• IT professionals responsible for monitoring and visualizing log data or system metrics.
• Product managers and decision-makers requiring data-driven insights and visualizations.
• Data-driven organizations aiming to adopt Kibana for improved data analysis capabilities.
• Students studying data analytics, data science, or business intelligence courses.
• Anyone interested in learning about Kibana's features for data visualization and dashboard development.