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MASTERING KIBANA: DATA VISUALIZATION & REAL-TIME ANALYTICS

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Test Automation with Cypress

MASTERING KIBANA: DATA VISUALIZATION & REAL-TIME ANALYTICS

 

COURSE OVERVIEW

This hands-on, four-day course is designed to provide participants with an in-depth understanding of Kibana, the powerful visualization and analytics tool within the Elastic Stack. Kibana is widely used for exploring, visualizing, and analyzing large volumes of real-time data, making it essential for data-driven organizations across various industries.

COURSE OUTLINE

Day 1: Introduction to Kibana and Elasticsearch Fundamentals

1.1 Overview of Kibana and the Elastic Stack

• Introduction to the Elastic Stack (Elasticsearch, Logstash, Beats, Kibana)

• Role of Kibana in the Elastic Stack

• Key features and use cases

1.2 Introduction to Elasticsearch Essentials

• Overview of Elasticsearch indexing, querying, and storing data

• Understanding data flow in Elasticsearch

• Hands-on: Setting up a basic Elasticsearch cluster

1.3 Getting Started with Kibana

• Kibana installation and setup

• Navigating the Kibana interface and dashboard

• Configuring Kibana with Elasticsearch

1.4 Data Ingestion for Kibana

• Basics of data ingestion using Logstash and Beats

• Hands-on: Ingesting sample data into Elasticsearch for Kibana use

1.5 Kibana Fundamentals

• Introduction to Kibana objects: dashboards, visualizations, and saved searches

• Creating and managing index patterns in Kibana

Day 2: Data Exploration and Basic Visualizations

2.1 Data Exploration with Discover

• Using the Discover tab for basic data exploration

• Filtering and searching data in Kibana

• Saving and sharing searches

2.2 Creating Visualizations in Kibana

• Overview of Kibana visualization types (e.g., bar charts, line charts, pie charts, heat maps)

• Hands-on: Creating basic visualizations with sample data

2.3 Building Interactive Dashboards

• Best practices for dashboard design

• Adding and arranging visualizations

• Hands-on: Building a basic dashboard with multiple visualizations

2.4 Introduction to Canvas in Kibana

• Overview of Canvas and use cases

• Basic design elements in Canvas

• Hands-on: Creating a simple Canvas presentation

Day 3: Advanced Visualizations and Analysis

3.1 Advanced Visualization Techniques

• Working with advanced visualizations

• Using Vega visualizations for customized designs

• Hands-on: Creating complex visualizations

3.2 Geo-Spatial Analysis with Kibana Maps

• Introduction to geospatial data in Kibana

• Creating and configuring maps visualizations

• Hands-on: Building maps with real-world data

3.3 Time-Series Analysis and Anomaly Detection

• Working with time-series data in Kibana

• Introduction to anomaly detection with machine learning in Kibana

• Hands-on: Applying machine learning to detect anomalies in data

3.4 Creating Canvas Workpads

• Advanced Canvas features and interactivity

• Designing rich presentations with real-time data

• Hands-on: Creating and publishing an interactive workpad

Day 4: Alerts, Monitoring, and Best Practices

4.1 Alerting and Actions in Kibana

• Overview of alerting and notification in Kibana

• Creating basic alert rules and triggers

• Hands-on: Setting up alerts for real-time monitoring

4.2 Kibana Monitoring and Maintenance

• Introduction to Stack Monitoring in Kibana

• Monitoring Elasticsearch cluster health

• Hands-on: Setting up and configuring Kibana monitoring

4.3 Securing Kibana Access

• User management and roles in Kibana

• Role-based access control and security best practices

• Hands-on: Configuring user access and roles

4.4 Practical Tips and Best Practices for Kibana

• Tips for optimizing Kibana performance

• Best practices for dashboard organization

• Real-world Kibana case studies and applications

For FULL COURSE OUTLINE, please contact us. Please contact us for the schedules and for booking a private class. 

Inquire Now

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Working hours

Monday 9:00 am - 6.00 pm
Tuesday 9:00 am - 6.00 pm
Wednesday 9:00 am - 6.00 pm
Thursday 9:00 am - 6.00 pm
Friday 9:00 am - 6.00 pm
Saturday Closed
Sunday Closed