- Kibana concepts
- Elastic stack overview
- Add your data to Kibana
- Workflow Discover > Visualize > Present > Share
- GUI overview
- Search and filter data with Discover
- Documents, fields, data types
- Data Views
- Data Visualizer
- Using the filters
- Searching with KQL
- Saved queries / saved search
- Creating visualizations from fields
- Runtime fields
- Create state of the art visualizations with Lens
- GUI, drag and drop
- Customizing visualisations
- Different kinds of visualizations
- Using layers, reference line, formulas
- Creating tables
- Analyze timeseries data with TSVB
- Visualizations types
- Differences with Lens
- Visualize geographical data with Maps
- Data types
- Using layers
- Advanced Visualizations
- Timelion
- Vega
- Dashboards
- Drill-down, controls, options, panels management
- Managing the time frame
- Saving dashboards
- Sharing dashboards (permalink, pdf / png, iframe, reporting)
- Build creative presentation with Canvas
- Creation
- Adding elements
- Using the Expression Editor
- Sharing Canvas
- Dev Tools quick tour
- Elasticsearch API
- Kibana API
- Pivot your data with Transform
- Transform types : pivot / latest
- Use cases
- GUI overview
- Detect anomalies with Machine Learning
- Machine Learning in Kibana overview, different kinds of jobs
- Anomaly detection
- Using results in dashboards
- Best practices
- Kibana Management for Data Analyst
- Spaces
- Saved Objects
- Advanced settings
- Tags
- Practice your skills on a real-world scenario
Dernière mise à jour : le 04/05/2024 à 13:05