Kibana Visualization Beginner To Pro (Elk & Elasticsearch)

Last updated 10/2018
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 947.44 MB | Duration: 2h 18m
Learn visualization creation & analysis with Kibana & the power of ELK stack (ElasticSearch, Logstash…) Get promotion!

What you’ll learn
Learn advanced knowledge about Kibana GUI and how to use Kibana’s features to analyze data
Create & read advanced graphs & charts
Overview, installation and basic use of the entire ELK stack (ElasticSearch, Logstash & Kibana)
How to use Kibana Visualizations and Dashboards
Basic concepts and terminology of Elasticsearch
Installation of Elasticsearch and Kibana
Live demonstrations
Lab exercises to test your skills
Requirements
Basic Linux and REST API knowledge
Description
COURSE OBJECTIVE The primary objective of this course is to help students and beginners to learn all the various GUI options of Kibana . In this course, you will learn :How to create and read advanced graphs and charts with Kibana VisualizationsHow to install Kibana How to create and manage Kibana index patterns ELK stack fundamentalsHow to use Kibana Search Filters to get require data How to use Kibana Visualizations and to create dashboardsYou will also get an overview of how to interact with Elasticsearch by using Console and how to use Timelion to do time series analysis of data. In addition to this, I have added a separate section of an Elasticsearch which helps students to understand basics of an Elasticsearch such as its features, Terms and Aggregations along with its Installation procedure. To help students for understanding how the data indexing is happened in Elasticsearch, I have added lecture which contain overview of preconfigured Logstash configuration file. Along with theory part, I have covered practical stuffs performed in the demo machine so that students can try out and understand various course topics better. WHAT IS KIBANA?Kibana is data exploration and analytics tool of ELK stack. ELK stack is Log Management Platform and a collection of three open-source products Elasticsearch, Logstash and Kibana. All three products are maintained by Elastic Company Company. Elasticsearch is a NoSQL database; Logstash is a log pipeline tool used to export normalized data to Elasticsearch and Kibana is a visualization layer that works on the top of Elasticsearch.Kibana seamlessly integrates with Elasticsearch and provides very effective Visualizations options such as charts, maps, data tables, metric etc. to visualize data. It can be used as handy web interface to setup various business use cases such as Logs and Time series analysis of data, Application monitoring, Business intelligence, Anomaly Detection, Operations intelligence etc. Data indexing is done by Elasticsearch itself and through Kibana you can visualize it.Even if you have multiple indices in your single Elasticsearch instance, Kibana can work with them seamlessly. TOP 3 BENEFITS OF USING LEARNING KIBANA1. Powerful Visualization Capabilities: Kibana is a powerful visualisation tool that is integrated with Elasticsearch and allows you to create meaningful graphs and charts by making full use of Elasticsearch’s aggregation functionality. By using Kibana Visualizations, it will be very easier for you to lookup connections and correlations between data. Furthermore, you can create Dashboards to put all required visualizations at once to perform statistical analysis of data. 2. Time Series Analysis of Data and Development Tools : You can use Timelion to perform time series analysis on your Elasticsearch data. You can use its powerful and simple functions to search and visualize data. By using development tools, you can directly interact with Elasticsearch through its powerful but simple REST API and process indexed data. 3. Huge Demand: ELK stack is a technology through which you can setup variety of use cases of data mining such as log analytics, monitoring systems activity, anomaly detection etc. Due to its various capabilities, there is high demand for log analysis for each service and find where problem happens. FREQUENTLY ASKED QUESTIONS Will it be required having prior knowledge of Elasticsearch to enroll in this course? No. this course covers a separate section of Elasticsearch which contains basic overview and some important fundamentals of Elasticsearch. Who are you? My Name is Shubham Shah. I am having 5 years on an experience in Network and Information Security domain in India. I am working as an analyst in Security Operations Center. I am having great experience in Log and Event management, UTM and SIEM device Management, Vulnerability Management, Linux Administration, Open Source Threat Intelligence and Many more. GUARANTEEIf within 30 days of buying the course you decide that it’s not for you, please get a Udemy-backed refund. No questions asked – just press the refund button, and all of your money will be returned to your credit card. ARE YOU READY TO LEARN KIBANA?Please press the "Take This Course" button and start learning 2 minutes from now!
Overview
Section 1: ELK Introduction
Lecture 1 What is ELK stack?
Section 2: Elasticsearch
Lecture 2 What is Elasticsearch?
Lecture 3 Understanding of basic Elasticsearch Terms
Lecture 4 Installing Elasticsearch
Lecture 5 Configuration and Testing
Section 3: Kibana
Lecture 6 What is Kibana?
Lecture 7 Installing Kibana
Lecture 8 Configurations and Testing
Lecture 9 Accessing and Securing Kibana
Lecture 10 Getting Data in Kibana
Section 4: Interacting with Kibana GUI
Lecture 11 Introduction to Kibana GUI
Lecture 12 Index Patterns
Lecture 13 Data Discovery
Lecture 14 Dashboards
Lecture 15 Interacting with Console
Lecture 16 Timelion
Lecture 17 Some Practical Uses of ELK stack
Section 5: Visualizations
Lecture 18 Visualization – Elasticsearch Aggregations
Lecture 19 Introduction to Kibana Visualizations
Lecture 20 Area chart
Lecture 21 Heat Map
Lecture 22 Bar Chart
Lecture 23 Line chart
Lecture 24 Pie Chart
Lecture 25 Data Table
Lecture 26 Gauge
Lecture 27 Goal
Lecture 28 Metric
Lecture 29 Coordinate Map
Lecture 30 Region Map
Lecture 31 Controls
Lecture 32 Markdown
Lecture 33 Tag Cloud
Section 6: LAB Exercise
Lecture 34 Lab Setup
Section 7: Conclusion
Lecture 35 Conclusion
Lecture 36 Bonus Lecture
Anyone who wants to learn how to use Kibana (ELK stack) to create advanced visualizations (graphs and charts) and how to use Kibana for data exploration & analysis

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www.udemy.com/course/kibana-elk-stack-for-beginners/

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