Kibana Training

Learners: 32   |   Duration: 40 Hrs   |   Reviews 0 ( 0 )

With GoLogica’s Kibana course learn the Data visualisation concepts, data handling Queries, Charts, and other representations of data that are very comfortable in understanding the data in any form of understandability.

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Self-Paced Learning

  • Any time Access to high quality pre-recorded Self faced training videos
  • Learning Management System (LMS) Access
  • Access to self based training materials Developed by Experts

Online Instructor LEAD

  • Online Training by Certified Industry Experts with live session
  • 24X7 Online Assessment and Support
  • Cloud Lab & LMS Access
  • Fast-track / Regular / Weekend Batches

Corporate Solutions

  • Self-Placed E-Learning and / Or Online Instructor Lead
  • Learning Management System access
  • Enhanced reporting for individuals & teams
  • 24X7 Online Assessment and Support

GoLogica is offering an instructor led Kibana training. Kibana course aims at data visualization methods and report generation. The course is designed by experts who are well versed in this production based companies. By the end of the course you should be able to understand the concept of Kibana and how and where is used. This course covers Kibana training in detail for you to be able to take up the certification examination without ease. On successful completion of the course and exam you will be certified Kibana Professional.

Kibana is open source data visualization plug-in for Elasticsearch. It provides visualization capabilities on top of the content indexed on an Elasticsearch cluster. Users can create bar, line and scatter plots, or pie charts and maps on top of large volumes of data.

The combination of Elasticsearch, Logstash, and Kibana, referred to as the "Elastic Stack" (formerly the "ELK stack"), is available as a product or service. Logstash provides an input stream to Elasticsearch for storage and search, and Kibana accesses the data for visualizations such as dashboards. Elastic also provides "Beats" packages which can be configured to provide pre-made Kibana visualizations and dashboards about various database and application technologies.

Kibana certification course with GoLogica aims at making you a certified Metrics or Management information Systems associate. You will learn Kibana Charts, Query Handling, filtering, formatting, courting, pictography the data.

What you will learn in Kibana Training?

With GoLogica’s course on Kibana you will be learning - introduction to Git and Kibana, Kibana installation, navigation, Git installation, Commands, Git with Kibana, repository creation, permission, pull requests, merging files, cloning of repository, source tree, user management and integration with Queries.

Who should take this Kibana Training?

Kibana training is for people working in production industry, System Design experts and IT professionals.

What are the prerequisites for taking the Kibana Training?

You should know basics of relations and data repressions on charts

Why should you go for the Kibana?

The Kibana Training is an ideal option for those who want to attain great success in their career.  The training give you a hands-on and you will be working on a project to get better understanding of how Kibana can be used in data visualization. You will also understand data retrieving and best practices of data handling workflows, as well as how Kibana can be used to streamline your decision making factors.  Professionals with comprehensive skills in Kibana are widely demanded in large number of corporate organizations.

Salary as per Market

According to Indeed latest reports, Kibana professional is paid around $72k.

An Introduction to Kibana

Understanding Elasticsearch

The basic concepts of Elasticsearch

Prerequisites for installing Kibana 4.1.1

Installation of Java , Java on Ubuntu 14.04, Java on Windows , Elasticsearch, Elasticsearch on Ubuntu 14.04, Elasticsearch on Windows, GIT, Kibana, Kibana on Ubuntu 14.04 and Kibana on Windows

Additional information

Changing the Elasticsearch configuration

Changing the Kibana configuration

Importing a JSON file into Elasticsearch

Installation of npm

Installation of npm on Ubuntu 14.04

Installation of npm on Windows

Installing elasticdump

Installing elasticdump on Ubuntu 14.04

Installing elasticdump on Windows

Exploring the Discover Page

Understanding the time filter

Setting the time filter

The Auto-refresh page

Understanding the toolbar

Using the search bar

New Search

Save Search

Load Saved Search

Understanding the Fields list

View field data information

Filtering by field

Functionalities of filters

The Enable filter, Disable filter, Pin filter, Unpin filter, Invert filter, Toggle filter and Remove filter

Understanding document data

Add a field to document data

Remove a field from document data

View data

Sorting documents

Moving fields in document data

Exploring the Visualize Page

Understanding aggregations

Bucket aggregations

Date histogram



Date range

IPv4 range



Significant terms


Metric aggregations

Count, Sum, Average, Min, Max, Unique count, Percentile

Percentile ranks


New Visualization

Save Visualization

Load Saved Visualization

Share Visualization


Aggregation designer

Preview canvas

An explanation of visualization types

Area Chart





Data Table

Line Chart


Square root

Markdown widget


Pie Chart

Tile Map

Shaded Circle Markers

Shaded GeoHash Grid


Desaturate map tiles

Vertical Bar Chart



Exploring the Dashboard Page

Understanding the toolbar

The New Dashboard option

Adding visualizations

Using the search bar

The Save Dashboard option

The Load Saved Dashboard option

Sharing the saved dashboard

Understanding the dashboard canvas

Moving visualizations

Resizing visualizations

Editing visualizations

Removing visualizations

Embedding a dashboard in a web page

Understanding the debug panel





Exploring the Settings Page


Configuring an index pattern

Setting the default index pattern

Reloading the index fields list

Removing an index pattern

Managing the field properties

The field type format



Managing saved searches, visualizations, and dashboards

Viewing, Editing, Deleting, Exporting, Importing, a saved object

Real-Time Twitter Data Analysis

The installation of Logstash

The installation of Logstash on Ubuntu 14.04

The installation of Logstash on Windows

The workflow for real-time Twitter data analysis

Creating a Twitter developer account

Creating a Logstash configuration file

Creating visualizations for scenarios

Number of tweets over a period of time

Number of tweets in different languages

Number of tweets from different geographical locations

Number of tweets from Android, iPhone, iPad, and Web devices

Number of tweets in various languages using different devices

Number of tweets from various countries using different devices

The most retweeted user screen name tweeting using different devices

The most tweeted user’s screen name

Popular hashtags and Twitter metrics

Our trainers are Highly experienced in implementing real-time solutions on different Scenarios and Expert in their professionals.

We record each LIVE class session you undergo through this training and we will share the recordings of each session/class.

Trainer will Provide Detailed installation of required software through LMS to the students we support by providing Training and practical in real time experience with all utilities required for completely understanding of this Training.

Yes, there are some group discount are available only if group contain more than 2 Or more participates.

Yes. All the training sessions will be a LIVE Online Streaming using either through GoToMeeting or WebEx You will be shared with live meeting access while Session Starts

We provide Training in a Real Time Projects Oriented

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Yes we will Schedule a Demo Session as per the student convenient by sharing LIVE Online Streaming access either through GoToMeeting or WebEx.

If you are enrolled in classes and you have paid fees, but want to cancel the registration for certain reason, it can be done within 48 hours of initial registration. Please make a note that refunds will be processed within 15 days of prior request

As we are one of the Best Kibana Online Training Provider we have customer throughout the world wide specially from UK, USA, UAE, Australia, Qatar, Singapore, New Zealand, India, Malaysia, Dubai, Doha, Melbourne, Brisbane, Perth, Wellington, Auckland Middle East Countries and other parts of the world

We are also located in USA Offering Kibana Online Training in Cities like New York, New jersey, Dallas, Seattle, Baltimore, Tempe, Chandler, Scottsdale, Peoria, Honolulu, Columbus, Raleigh, Nashville, Plano, Toronto, Montreal, Calgary, Edmonton, Saint John, Vancouver, Richmond, Mississauga, Saskatoon, Kingston, Kelowna, Houston, Minneapolis, Los Angeles, San Francisco, San Jose, San Diego, Washington DC, Chicago, Philadelphia, St. Louis, Edison, Jacksonville, Towson, Salt Lake City, Davidson, Murfreesboro, Atlanta, Alexandria, Sunnyvale, Santa Clara, Carlsbad, San Marcos, Franklin, Tacoma, California, Bellevue, Austin, Charlotte, Garland, Raleigh-Cary, Boston, Orlando, Fort Lauderdale, Miami, Gilbert.

In India we have customer for Kibana Online Training from Bangalore, Mangalore, Mysore, Hyderabad (Ameerpet), Visage, Vijayawada, Guntur, Triputhi, Chennai, Kolkata, Pune, Mumbai, Delhi, Jaipur, Ahmadabad, Kerala etc…

You can clarify your queries by dialing +91 - 82 9696 0414, +1 (646) 586 - 2969 Or you can send a mail to info@gologica.com. We are ready to clear your enquiries at any time

At the end of this course, you will receive a course completion certificate which certifies that you have successfully completed GoLogica training in Kibana technology.

You will get certified in Kibana by clearing the online examination with a minimum score of 70%.

To help you prepare for a certification exam, we shall provide you a simulation exam and a practice exam.


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Upcoming Demo’s

March, 2019
March, 2019
March, 2019
March, 2019

Course Duration - 40 Hrs

Hours - 1 hr/day

Training Mode - Online

Course Duration - 10 Weekends

Hours - 2 hr/day

Training Mode - Online

Course Duration - 20 Days

Hours - 2 hr/day

Training Mode - Online