Data Visualisation with Kibana

Course description:

In this course, you’ll learn to harness the power of data and derive meaningful insights. First, you’ll explore how data is aggregated in Elasticsearch. Next, you’ll discover how to perform simple visualizations using line, area, and bar charts. Then, you will learn how to build complex visualizations using heatmaps, timelion, and TSVB. Finally, you will learn how to build dashboards using the charts and create drilldowns between them. When you’re finished with this course, you’ll have the skills and knowledge of creating dynamic visualizations needed to derive information from the data effectively.

Target audience:​

• Developers wanting to work with and visualize Elasticsearch data

Prerequisites for Data Visualisation with Kibana:

  • Basic understanding of database structure
  • Understanding of various data types (integer, float, string, etc)

Recommended:

  • Basic understanding of Elasticsearch architecture and data structure (documents, fields, field mapping)

Module 01. Kibana and the Elastic Stack

  • Intro to the Elastic Stack. Elasticsearch, Logstash, Kibana, Beats
  • Intro to Elasticsearch Architecture. Clusters, Nodes, Indices, Shards
  • Elasticsearch Data Storage. Documents. Fields. Mappings
  • Types of Stored Data. Text Data vs. Metrics

Module 02. Getting Started with Kibana    

  • Setting Up Kibana
  • Configuring Network Binding and Elasticsearch connectivity
  • Configuring Index Patterns

Module 03. The Kibana Discover Interface

  • Using the Discover Interface
  • Time Ranges
  • The Query Bar. Filters
  • Making Sense of Data

Module 04. Kibana Visualisations

  • Basic Visualisations. Bar, Line, Area Charts.

Module 05. Advanced Visualisations

  • Elasticsearch Aggregations. Metric Aggregations, Bucket Aggregations.
  • Histograms, Data Tables, Heat Maps
  • Tag Clouds and Geo Maps
  • Goals and Gauges

Module 06. Dashboards

  • Intro to Dashboards
  • Creating Dashboards
  • Editing Visualisations
  • Drilldowns

Module 07. Security – Users and Roles

  • Enabling Security Features
  • Creating and Managing Users
  • Intro to Role-Based Access Control (RBAC)
  • Creating Custom Roles
  • Using Roles and Spaces

Note:​​

Every student has assigned to him his own virtual lab environment setup.

Additional details:

To attend this course, you need to have:
• PC/Laptop with internet access
• Updated web browser

Data Visualisation with Kibana

€ 840
  • DURATION: 2 days
  • SKILL LEVEL: Associate
  • LECTURES: 7 lessons

Register
  • PRICE: 840 €
  • DURATION: 2 days
  • SKILL LEVEL: Associate
  • LECTURES: 7 lessons

Course description:

In this course, you’ll learn to harness the power of data and derive meaningful insights. First, you’ll explore how data is aggregated in Elasticsearch. Next, you’ll discover how to perform simple visualizations using line, area, and bar charts. Then, you will learn how to build complex visualizations using heatmaps, timelion, and TSVB. Finally, you will learn how to build dashboards using the charts and create drilldowns between them. When you’re finished with this course, you’ll have the skills and knowledge of creating dynamic visualizations needed to derive information from the data effectively.

Target audience:​

• Developers wanting to work with and visualize Elasticsearch data

Prerequisites for Data Visualisation with Kibana:

• Basic understanding of database structure
• Understanding of various data types (integer, float, string, etc)

Recommended:

• Basic understanding of Elasticsearch architecture and data structure (documents, fields, field mapping)

Module 01. Kibana and the Elastic Stack

  • Intro to the Elastic Stack. Elasticsearch, Logstash, Kibana, Beats
  • Intro to Elasticsearch Architecture. Clusters, Nodes, Indices, Shards
  • Elasticsearch Data Storage. Documents. Fields. Mappings
  • Types of Stored Data. Text Data vs. Metrics

Module 02. Getting Started with Kibana    

  • Setting Up Kibana
  • Configuring Network Binding and Elasticsearch connectivity
  • Configuring Index Patterns

Module 03. The Kibana Discover Interface

  • Using the Discover Interface
  • Time Ranges
  • The Query Bar. Filters
  • Making Sense of Data

Module 04. Kibana Visualisations

  • Basic Visualisations. Bar, Line, Area Charts.

Module 05. Advanced Visualisations

  • Elasticsearch Aggregations. Metric Aggregations, Bucket Aggregations.
  • Histograms, Data Tables, Heat Maps
  • Tag Clouds and Geo Maps
  • Goals and Gauges

Module 06. Dashboards

  • Intro to Dashboards
  • Creating Dashboards
  • Editing Visualisations
  • Drilldowns

Module 07. Security – Users and Roles

  • Enabling Security Features
  • Creating and Managing Users
  • Intro to Role-Based Access Control (RBAC)
  • Creating Custom Roles
  • Using Roles and Spaces

Note:​​

Every student has assigned to him his own virtual lab environment setup.

Additional details:

To attend this course, you need to have:
• PC/Laptop with internet access
• Updated web browser

Register

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