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ElasticSearch, LogStash, Kibana (the ELK Stack) # 1

Video 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, 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. 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. In this course, 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. Knowledge and experience about ELK and ElasticSearch could be very 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 – this course 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.

Table of Contents

  1. Welcome And Introduction
    1. Welcome 00:01:09
    2. Course Overview 00:02:08
    3. Get ready for ElasticSearch 00:00:41
  2. Overview Of ELK
    1. Introduction to ELK 00:04:32
    2. Introduction to Big Data 00:06:12
    3. Tools for Big Data 00:04:27
    4. Benefits of ELK 00:05:03
    5. ELK in the real world 00:06:53
  3. Getting Started With ElasticSearch
    1. Introduction to ElasticSearch 00:05:44
    2. ElasticSearch as a distributed framework 00:03:21
    3. ElasticSearch features 00:06:12
    4. ElasticSearch features (contd.) 00:04:38
    5. ElasticSearch terminology 00:10:29
    6. ElasticSearch terminology (contd.) 00:05:40
  4. ElasticSearch In Action
    1. ElasticSearch vs. RDBMS 00:03:29
    2. Why use ElasticSearch? 00:04:06
    3. ElasticSearch pre-requisites 00:01:29
    4. Deploy AWS EC2 instances 00:09:59
    5. Connect to AWS EC2 instances 00:04:44
    6. Download install packages 00:02:32
    7. ElasticSearch configuration 00:05:46
    8. ElasticSearch configuration (contd.) 00:07:23
    9. Explore ElasticSearch API editor 00:03:02
    10. Install Head plugin for ElasticSearch 00:03:39
    11. Explore Sense plugin for ElasticSearch 00:03:37
    12. Add a new document to ElasticSearch 00:01:18
    13. Anatomy of a PUT API request for ElasticSearch 00:01:21
    14. Add documents to ElasticSearch 00:07:00
    15. Retreive data from ElasticSearch 00:04:12
    16. ElasticSearch indexing - behind the scenes 00:08:52
    17. Introduction to ElasticSearch search queries 00:04:01
    18. Execute ElasticSearch search queries 00:04:44
    19. ElasticSearch advanced features 00:01:18
    20. ElasticSearch CAT APIs 00:03:05
    21. ElasticSearch high availability 00:06:41
    22. ElasticSearch scalability 00:05:38
  5. Putting It All Together
    1. Review sample dataset 00:03:48
    2. Prepare sample dataset 00:06:09
    3. Query the sample dataset 00:10:14
    4. ElasticSearch type mappings 00:04:44