Kibana Data Analysis Training

Introduction to Kibana

Gain an overview of Kibana, a powerful data visualization and exploration tool for Elasticsearch. Learn about its key features, architecture, and how it integrates with the Elastic Stack to analyze and visualize data.

Getting Started with Kibana

Learn how to get started with Kibana, including installation, configuration, and environment setup. Understand the user interface, navigation, and how to connect Kibana to your Elasticsearch cluster.

Data Exploration and Visualization

Explore the different data visualization options in Kibana, including bar charts, line charts, pie charts, and more. Learn how to create visualizations, dashboards, and reports to effectively analyze and present data.

Creating and Managing Dashboards

Discover how to create and manage interactive dashboards in Kibana. Learn about the various types of panels, widgets, and filters available, and how to use them to build dynamic and informative dashboards.

Advanced Kibana Features

Understand the advanced features of Kibana, such as Canvas, Timelion, and Vega visualizations. Learn how to use these tools to create more complex visualizations and perform advanced data analysis.

Data Querying and Filtering

Explore the data querying and filtering capabilities of Kibana. Learn how to use Kibana Query Language (KQL) and Lucene syntax to filter and query data effectively, enabling precise and targeted data analysis.

Alerts and Monitoring

Learn about setting up alerts and monitoring in Kibana to proactively manage data insights and operational metrics. Understand how to create alerts based on threshold conditions and integrate them with notification services.

Security and Access Control

Discover how to secure your Kibana instance and manage access control. Learn about user roles, permissions, and securing communications to ensure data privacy and integrity.

Hands-On Labs and Practical Projects

Engage in hands-on labs and practical projects to apply your knowledge of Kibana data analysis. Work on real-world scenarios and datasets, creating visualizations and dashboards to solve data analysis challenges.

Kibana Data Analysis Syllabus

Introduction to Kibana and Elastic Stack

  • Overview of Kibana, Elasticsearch, Logstash, and Beats.
  • Understanding the role of Kibana in data visualization and analysis.
  • Installation and setup of the Elastic Stack.
  • Tour of the Kibana interface.

Indexing and Mapping

  • Introduction to indexing data in Elasticsearch.
  • Mapping data types and properties.
  • Index management in Kibana.

Basic Visualizations

  • Creating simple visualizations: bar charts, line charts, pie charts.
  • Configuring basic visualization options.
  • Using Kibana Lens for quick visualizations.

Advanced Visualizations

  • Exploring advanced visualization types: heatmaps, histograms, tag clouds.
  • Customizing visualizations with aggregations and filters.
  • Introduction to Vega and Vega-Lite for custom visualizations.

Data Exploration and Search

  • Utilizing Kibana Discover for data exploration.
  • Basic and advanced search techniques.
  • Introduction to query DSL for complex searches.

Aggregations and Metrics

  • Understanding aggregations: metrics, bucketing, and pipeline aggregations.
  • Using aggregations for statistical analysis and insights.
  • Combining multiple aggregations for complex analysis.

Dashboards

  • Creating dashboards to combine multiple visualizations.
  • Configuring dashboard layouts and panels.
  • Adding interactions and drill-downs to dashboards.

Time Series Analysis

  • Analyzing time-based data with Kibana.
  • Using Timelion for time series analysis and forecasting.
  • Visualizing trends and anomalies in time series data.

Machine Learning with Kibana

  • Introduction to machine learning in Kibana.
  • Setting up and configuring machine learning jobs.
  • Analyzing anomalies and patterns in data with machine learning.

Geospatial Analysis

  • Introduction to geospatial data in Elasticsearch.
  • Creating maps and geospatial visualizations.
  • Analyzing location-based data with Kibana.

Security and Access Control

  • Securing Kibana and Elasticsearch with authentication and authorization.
  • Configuring role-based access control (RBAC) in Kibana.
  • Monitoring and auditing user activities.

Monitoring and Alerting

  • Setting up monitoring for the Elastic Stack.
  • Creating alerts and notifications in Kibana.
  • Using Watcher for automated alerting and actions.

Best Practices and Optimization

  • Best practices for Kibana configuration and usage.
  • Performance optimization techniques.
  • Scaling Kibana for large deployments.

Real-world Use Cases

  • Case studies and examples of Kibana usage in different industries.
  • Hands-on exercises and projects to apply learned concepts.

Integration and Extensibility

  • Integrating Kibana with external systems and tools.
  • Developing custom visualizations and plugins for Kibana.
  • Exploring the Kibana plugin ecosystem.

Training

Basic Level Training

Duration : 1 Month

Advanced Level Training

Duration : 1 Month

Project Level Training

Duration : 1 Month

Total Training Period

Duration : 3 Months

Course Mode :

Available Online / Offline

Course Fees :

Please contact the office for details

Placement Benefit Services

Provide 100% job-oriented training
Develop multiple skill sets
Assist in project completion
Build ATS-friendly resumes
Add relevant experience to profiles
Build and enhance online profiles
Supply manpower to consultants
Supply manpower to companies
Prepare candidates for interviews
Add candidates to job groups
Send candidates to interviews
Provide job references
Assign candidates to contract jobs
Select candidates for internal projects

Note

100% Job Assurance Only
Daily online batches for employees
New course batches start every Monday