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ElasticSearch, LogStash, Kibana ELK 1- Learn ElasticSearch

In the recent years – the term BigData has been gaining popularity as well and there has been a paradigm shift is the volume of information and the ways in which it can be extracted from this data....

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Course Description

In the recent years – the term BigData has been gaining popularity as well and there has been a paradigm shift is the volume of information and the ways in which it can be extracted from this data. ELK is one of the few new-age frameworks which is capable of handling Big Data demands and scale. Over the years the ELK stack has become quite popular. And for a good reason. It is a very robust,...

In the recent years – the term BigData has been gaining popularity as well and there has been a paradigm shift is the volume of information and the ways in which it can be extracted from this data. ELK is one of the few new-age frameworks which is capable of handling Big Data demands and scale. Over the years the ELK stack has become quite popular. And for a good reason. It is a very robust, mature and feature rich framework. ELK is used by large enterprises, government organizations and startups alike. The ELK stack has a very rich and active community behind it. They develop, share and support tons of source code, components, plugins and knowledge about these tools freely and openly.

What you’ll learn
  • It is a very robust, mature and feature rich framework.
  • They develop, share and support tons of source code, components, plugins and knowledge about these tools freely and openly.
  • we will focus on one such enterprise search engine- The ElasticSearch which is one of the core components of the ELK stack. We will look at the overview and explore the technology that goes into this tool.
  • your own search cluster using these components together.

Covering Topics

1
Section 1 : Welcome And Introduction
2
Section 2 : Getting Started With ElasticSearch
3
Section 3 : ElasticSearch In Action
4
Section 4 : Putting It All Together
5
Section 5 : Overview Of ELK

Curriculum

      Section 1 : Welcome And Introduction
1
Introduction Preview
2
Course Overview
3
Get ready for ElasticSearch
      Section 2 : Getting Started With ElasticSearch
4
Introduction to ElasticSearch Preview
5
ElasticSearch as a distributed framework
6
ElasticSearch features
7
ElasticSearch features (contd.)
8
ElasticSearch terminology
9
ElasticSearch terminology (contd.)
      Section 3 : ElasticSearch In Action
10
ElasticSearch vs. RDBMS Preview
11
Why use ElasticSearch?
12
ElasticSearch pre-requisites
13
Deploy AWS EC2 instances
14
Connect to AWS EC2 instances
15
Download install packages Preview
16
ElasticSearch configuration
17
ElasticSearch configuration (contd.)
18
Explore ElasticSearch API editor
19
Install Head plugin for ElasticSearch
20
Explore Sense plugin for ElasticSearch
21
Add a new document to ElasticSearch
22
Anatomy of a PUT API request for ElasticSearch
23
Add documents to ElasticSearch
24
Retreive data from ElasticSearch
25
ElasticSearch indexing - behind the scenes
26
Introduction to ElasticSearch search queries
27
Execute ElasticSearch search queries Preview
28
ElasticSearch advanced features
29
ElasticSearch CAT APIs
30
ElasticSearch high availability
31
ElasticSearch scalability
      Section 4 : Putting It All Together
32
Review sample dataset Preview
33
Prepare sample dataset
34
Query the sample dataset
35
ElasticSearch type mappings
      Section 5 : Overview Of ELK
36
Introduction to ELK
37
Introduction to Big Data
38
Tools for Big Data
39
Benefits of ELK
40
ELK in the real world

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