ElasticSearch, LogStash, Kibana (the ELK Stack) # 1 Online Certificate Course

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ElasticSearch, LogStash, Kibana (the ELK Stack) # 1 Online Certificate Course

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The Elasticsearch Course gives you a comprehensive look into Elasticsearch from Basic to Advance Techniques

The Elasticsearch Course will focus on the use of the popular 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.

In the recent years – the term Big Data 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 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.

If you ever had to search a database of retail products by description, find similar text in a body of crawled web pages, or search through posts on a blog. You wonder if there was a search tool, which could make such jobs easy.

Knowledge and experience about ELK and Elasticsearch could be valuable for your career. The latest stats and figures show some amazing numbers like jobs requiring these skill sets pay higher than most of the jobs posted on public job boards within the US and annual salaries for professionals could be as high as $100,000. That is the exact reason why you must enroll in this course and take your career to the next level.

As the title suggests – the Elasticsearch Online Courses aims to provide you enough knowledge about ELK and Elasticsearch so that you can run and operate your own search cluster using these components together.

What you will learn with our Elasticsearch Course

  • Learn the fundamentals of Elasticsearch, LogStash, Kibana (the ELK Stack) # 1
  • Introduction to Elasticsearch
  • Overview Of ELK
  • Introduction to ELK
  • Introduction to Big Data
  • Getting Started with Elasticsearch
  • Elasticsearch as a distributed framework
  • Elastic Search in Action
  • Putting It All Together

What are the basic concepts of Elasticsearch?

  1. Cluster
  2. Near Real Time
  3. Index
  4. Node
  5. Shards
  6. Mapping Type

Elasticsearch Course - Requirements

The Elasticsearch Online Course is delivered 100 percent online 24/7 and only takes 3.5 hours of study to complete.

To successfully complete this course, a student must:

  • Have access to the internet and the necessary technical skills to navigate the online learning resources
  • Have access to any mobile device with internet connectivity (laptop, desktop, tablet)
  • Be a self-directed learner
  • Possess sound language and literacy skills

Quick Course Facts

  1. Course content is structured for easy comprehension
  2. Approximately 3.5 hours of study is needed to complete the course
  3. Registered students gain unrestricted access to the Elasticsearch Online Course
  4. All course material is available online 24/7 and can be accessed using any device
  5. Study online from anywhere in your own time at your own pace
  6. All students who complete the course will be awarded with a certificate of completion

Recognition & Accreditation

All students who complete this course, receive a certificate of completion and will be issued a certificate via email.

Welcome And Introduction

  • Welcome
  • Course Overview
  • Get ready for ElasticSearch

Overview Of ELK

  • Introduction to ELK
  • Introduction to Big Data
  • Tools for Big Data
  • Tools for Big Data
  • ELK in the real world
  • Section 2 Quiz

Getting Started With ElasticSearch

  • Introduction to ElasticSearch
  • ElasticSearch as a distributed framework
  • ElasticSearch features 1
  • ElasticSearch features 2
  • ElasticSearch terminology
  • ElasticSearch terminology (contd.)
  • Section 3 Quiz

Elastic Search In Action

  • ElasticSearch vs. RDBMS
  • Why use ElasticSearch?
  • ElasticSearch pre-requisites
  • Deploy AWS EC2 instances
  • Connect to AWS EC2 instances
  • Download install packages
  • ElasticSearch configuration
  • ElasticSearch configuration (contd.)
  • Explore ElasticSearch API editor
  • Install Head plugin for ElasticSearch
  • Explore Sense plugin for ElasticSearch
  • Add a new document to ElasticSearch
  • Anatomy of a PUT API request for ElasticSearch
  • Add documents to ElasticSearch
  • Retreive data from ElasticSearch
  • ElasticSearch indexing - behind the scenes
  • Introduction to ElasticSearch search queries
  • Execute ElasticSearch search queries
  • ElasticSearch advanced features
  • ElasticSearch CAT APIs
  • ElasticSearch high availability
  • ElasticSearch scalability
  • Section 4 Quiz

Putting It All Together

  • Review sample dataset
  • Prepare sample dataset
  • Query the sample dataset
  • ElasticSearch type mappings
  • Section 5 Quiz

Entry requirements

Students must have basic literacy and numeracy skills.

Minimum education

Open entry. Previous schooling and academic achievements are not required for entry into this course.

Computer requirements

Students will need access to a computer and the internet. 

Minimum specifications for the computer are:

Windows:

  • Microsoft Windows XP, or later
  • Modern and up to date Browser (Internet Explorer 8 or later, Firefox, Chrome, Safari)

MAC/iOS

  • OSX/iOS 6 or later
  • Modern and up to date Browser (Firefox, Chrome, Safari)

All systems

  • Internet bandwidth of 1Mb or faster
  • Flash player or a browser with HTML5 video capabilities(Currently Internet Explorer 9, Firefox, Chrome, Safari)

Students will also need access the following applications:

Adobe Acrobat Reader

About this Course

The Elasticsearch Course gives you a comprehensive look into Elasticsearch from Basic to Advance Techniques

The Elasticsearch Course will focus on the use of the popular 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.

In the recent years – the term Big Data 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 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.

If you ever had to search a database of retail products by description, find similar text in a body of crawled web pages, or search through posts on a blog. You wonder if there was a search tool, which could make such jobs easy.

Knowledge and experience about ELK and Elasticsearch could be valuable for your career. The latest stats and figures show some amazing numbers like jobs requiring these skill sets pay higher than most of the jobs posted on public job boards within the US and annual salaries for professionals could be as high as $100,000. That is the exact reason why you must enroll in this course and take your career to the next level.

As the title suggests – the Elasticsearch Online Courses aims to provide you enough knowledge about ELK and Elasticsearch so that you can run and operate your own search cluster using these components together.

What you will learn with our Elasticsearch Course

  • Learn the fundamentals of Elasticsearch, LogStash, Kibana (the ELK Stack) # 1
  • Introduction to Elasticsearch
  • Overview Of ELK
  • Introduction to ELK
  • Introduction to Big Data
  • Getting Started with Elasticsearch
  • Elasticsearch as a distributed framework
  • Elastic Search in Action
  • Putting It All Together

What are the basic concepts of Elasticsearch?

  1. Cluster
  2. Near Real Time
  3. Index
  4. Node
  5. Shards
  6. Mapping Type

Elasticsearch Course - Requirements

The Elasticsearch Online Course is delivered 100 percent online 24/7 and only takes 3.5 hours of study to complete.

To successfully complete this course, a student must:

  • Have access to the internet and the necessary technical skills to navigate the online learning resources
  • Have access to any mobile device with internet connectivity (laptop, desktop, tablet)
  • Be a self-directed learner
  • Possess sound language and literacy skills

Quick Course Facts

  1. Course content is structured for easy comprehension
  2. Approximately 3.5 hours of study is needed to complete the course
  3. Registered students gain unrestricted access to the Elasticsearch Online Course
  4. All course material is available online 24/7 and can be accessed using any device
  5. Study online from anywhere in your own time at your own pace
  6. All students who complete the course will be awarded with a certificate of completion

Recognition & Accreditation

All students who complete this course, receive a certificate of completion and will be issued a certificate via email.

Welcome And Introduction

  • Welcome
  • Course Overview
  • Get ready for ElasticSearch

Overview Of ELK

  • Introduction to ELK
  • Introduction to Big Data
  • Tools for Big Data
  • Tools for Big Data
  • ELK in the real world
  • Section 2 Quiz

Getting Started With ElasticSearch

  • Introduction to ElasticSearch
  • ElasticSearch as a distributed framework
  • ElasticSearch features 1
  • ElasticSearch features 2
  • ElasticSearch terminology
  • ElasticSearch terminology (contd.)
  • Section 3 Quiz

Elastic Search In Action

  • ElasticSearch vs. RDBMS
  • Why use ElasticSearch?
  • ElasticSearch pre-requisites
  • Deploy AWS EC2 instances
  • Connect to AWS EC2 instances
  • Download install packages
  • ElasticSearch configuration
  • ElasticSearch configuration (contd.)
  • Explore ElasticSearch API editor
  • Install Head plugin for ElasticSearch
  • Explore Sense plugin for ElasticSearch
  • Add a new document to ElasticSearch
  • Anatomy of a PUT API request for ElasticSearch
  • Add documents to ElasticSearch
  • Retreive data from ElasticSearch
  • ElasticSearch indexing - behind the scenes
  • Introduction to ElasticSearch search queries
  • Execute ElasticSearch search queries
  • ElasticSearch advanced features
  • ElasticSearch CAT APIs
  • ElasticSearch high availability
  • ElasticSearch scalability
  • Section 4 Quiz

Putting It All Together

  • Review sample dataset
  • Prepare sample dataset
  • Query the sample dataset
  • ElasticSearch type mappings
  • Section 5 Quiz

Entry requirements

Students must have basic literacy and numeracy skills.

Minimum education

Open entry. Previous schooling and academic achievements are not required for entry into this course.

Computer requirements

Students will need access to a computer and the internet. 

Minimum specifications for the computer are:

Windows:

  • Microsoft Windows XP, or later
  • Modern and up to date Browser (Internet Explorer 8 or later, Firefox, Chrome, Safari)

MAC/iOS

  • OSX/iOS 6 or later
  • Modern and up to date Browser (Firefox, Chrome, Safari)

All systems

  • Internet bandwidth of 1Mb or faster
  • Flash player or a browser with HTML5 video capabilities(Currently Internet Explorer 9, Firefox, Chrome, Safari)

Students will also need access the following applications:

Adobe Acrobat Reader

We provide a 7 Day Money Back Refund on all Courses

Now Only US$99 Save US$500 (83%)
OFF RRP US$599
Delivery Method

Online - Certificate of Completion

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Course Summary

Course ID: 009SRELK1
Delivery Mode: Online
Access: Unlimited lifetime
Tutor Support: Yes
Time: Study at your own pace
Duration: 3.5 Hours
Assessments: Yes
Qualification: Certificate of Completion

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