Why should you choose Nisa For Kibana Training?

Nisa Trainings is the best online training platform for conducting one-on-one interactive live sessions with a 1:1 student-teacher ratio. You can gain hands-on experience by working on near-real-time projects under the guidance of our experienced faculty. We support you even after the completion of the course and happy to clarify your doubts anytime. Our teaching style at Nisa Trainings is entirely hands-on. You’ll have access to our desktop screen and will be actively conducting hands-on labs on your desktop.

Job Assistance

If you face any problem while working on Kibana Course, then Nisa Trainings is simply a Call/Text/Email away to assist you. We offer Online Job Support for professionals to assist them and to solve their problems in real-time.

The Process we follow for our Online Job Support Service:

• We receive your inquiry for Online Job
• We will arrange a telephone call with our consultant to grasp your complete requirement and the tools you’re
• If our consultant is 100% confident in taking up your requirement and when you are also comfortable with our consultant, we will only agree to provide service. And then you have to make the payment to get the service from
• We will fix the timing for Online Job Support as mutually agreed by you and our consultant.

Course Information

Kibana Training

Duration: 25 Hours

Timings: Weekdays (1-2 Hours per day) [OR] Weekends (2-3 Hours per day)

Training Method: Instructor Led Online One-on-One Live Interactive

Sessions.

COURSE CONTENT :

Module 1: Introduction to Kibana and the Elastic Stack

• Overview of the Elastic Stack (Elasticsearch, Logstash, Beats, Kibana)
• Introduction to Kibana’s role in the stack
• Installation and setup of Kibana
• Basic configuration and user interface

Module 2: Exploring Data in Kibana

• Overview of Elasticsearch and its structure (indices, documents, etc.)
• How Kibana interacts with Elasticsearch data
• Searching and filtering data in Kibana
• Using Discover to view and explore raw data
• Understanding and utilizing the Kibana Query Language (KQL)

Module 3: Visualizations

• Introduction to Kibana’s various visualization types (bar charts, line charts, pie charts, etc.)
• How to create and customize visualizations
  • Metrics, aggregations, and filters
  • Using the visualization editor
  • Working with time-based data
• Building and saving visualizations
• Visualizing geospatial data

Module 4: Dashboards

• Creating and designing dashboards
• Adding and arranging visualizations on a dashboard
• Using time filters and date ranges
• Sharing and exporting dashboards
• Using the Dashboard API for programmatic access

Module 5: Data Analysis with Kibana

• Aggregation concepts and how they apply to visualizations
• Using Kibana’s powerful aggregation capabilities (e.g., terms, range, histogram)
• Building advanced visualizations like heat maps, area charts, and funnel charts
• Filtering and drilling down into data for deeper analysis
• Building reports and scheduled reports

Module 6: Advanced Features in Kibana

• Alerts and watches (using Kibana with Elasticsearch Alerting)
• Timelion for advanced time-series visualizations
• Canvas for creating custom, interactive dashboards
• Machine Learning features within Kibana (anomaly detection, trend analysis)

Module 7: Security and User Management

• Setting up and configuring Kibana Security features
• Role-based access control (RBAC)
• Managing users and roles
• Securing your Kibana deployment with TLS/SSL

Module 8: Troubleshooting and Performance Optimization

• Common issues and how to troubleshoot Kibana
• Performance tuning for large-scale Kibana environments
• Monitoring Kibana’s health and performance
• Configuring Kibana for high availability and scaling

Module 9: Kibana REST API and Automation

• Overview of Kibana REST APIs
• How to use APIs for automation and integration
• Automating dashboards and reports via APIs