Kibana: Essentials Training Course

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As it is ideal for modern web and mobile applications, Elasticsearch is a platform which is globally adopted in search engine platforms. Kibana is an open source analytics and visualization platform which is used to search, view, and interact with data stored in Elasticsearch indices. Ideal to work with Elasticsearch, a person can perform advanced data analysis and visualize data in a variety of charts, tables, and maps.

Do you have prior experience with elasticsearch and system administration? If yes, come and earn the Kibana: Essentials Training Course provided by Multisoft Systems. It is designed to provide detailed knowledge of Kibana to the users of Elasticsearch.

This simple and browser-based interface enables the users to understand large volumes of data – structured and unstructured. With its use, you can quickly create and share dynamic dashboards that display changes to Elasticsearch queries in real time.

In the successful completion of Kibana: Essentials Training, you will learn:
  • What is Kibana, how to work with Kibana architecture?
  • How to search, view, and interact with data stored in Elasticsearch indices?
  • How to work with Elasticsearch?
  • How to perform advanced data analysis in a variety of charts?
  • How to visualize data in tables and maps?
  • How to work with Kibana to present your insights?
  • How to query data and best structure your data?
Target Audience
  • Software Developers
  • Technology Managers
  • IT Developers who wish to work with Elasticsearch
Prerequisites
  • The professionals with prior knowledge in Elasticsearch and system administration are eligible to earn this Kibana: Essentials Training Course.

Module 1: Introduction

  • What is Kibana
  • Why Kibana
  • How Kibana Differs from other Tools
  • Installing and Configuring the Kibana
  • Adding Sample data to Kibana

Module 2: Discover

  • Creating an Index Pattern
  • Searching Data
  • Using filter
  • Data statistics

Module 3: Visualize

  • Types of Visualization
  • Aggregation
  • Dashboard tools
  • Heat Map

Module 4: Dashboard

  • Creating/Sharing different types of Dashboard/li>

Module 5: Canvas

  • Creating a WorkPad
  • Canvas Lifecycle

Module 6: Maps

  • Discuss all Layers
  • Plot Big Data
  • Searching geographic data
  • Configure Map settings

Module 7: Machine Learning

  • Anomaly detection
  • Data frame detection

Module 8: Logs & Uptime

  • Log Analysis
  • Troubleshooting

Module 9: APM & SIEM

  • Setting up the APM
  • REST API
  • Anomaly Detection with ML

Module 10: Dev Tools

  • DSL Query using all filter and Agregation
  • Indexing & Re- Indexing

Module 11: Templates Creation

  • Indexing the data
  • Performing CURD Operation
  • Learning all API related Queries

Module 10: Reporting

  • Report Configuration
  • Report Integration
  • Automating Report Generation

Module 12: Alerting and Action

  • Defining Alerts
  • Action and connector types
  • Discuss about alert types

Module 13: Kibana Plugins

  • Install, updats, remove, disable plubgins

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