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ElasticSearch, LogStash, Kibana ELK #1 - Learn ElasticSearch

Video Description

Learn software skills with rising demand. ElasticSearch is a core component of ELK stack and an excellent search server

About This Video

  • You will get familiar with the features and benefits offered by LogStash. Since this course provides detailed demos of installation and configuration of LogStash, it will equip you well for future use of this technology.
  • The more equipped you are, the more sought after you will be. And this course will be a right step towards improving your work/ project/ career prospects.

In Detail

In the recent years – the term BigData has been gaining popularity. And there has been a paradigm shift in 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. Imagine a large organization, which has information coming in from varied sources, at varied frequencies, and in various formats. It will be a herculean task to sort and sift through this data and normalize it to use for any comprehensive analysis. We will need a pretty versatile and flexible tool to deal with all these permutations of data streams. In this course, we will focus on one such enterprise data collection and collation tool-The LogStash which is one of the core components of the ELK stack. We will look at the overview and explore the technology that goes behind this tool.

Table of Contents

  1. Chapter 1 : Welcome and introduction
    1. Introduction 00:01:09
    2. Course Overview 00:02:08
    3. About us 00:02:52
    4. About the learner 00:01:44
    5. Get ready for ElasticSearch 00:00:41
  2. Chapter 2 : 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
  3. Chapter 3 : ElasticSearch In Action
    1. Quick checkin 00:01:19
    2. ElasticSearch vs. RDBMS 00:03:29
    3. Why use ElasticSearch? 00:04:06
    4. ElasticSearch pre-requisites 00:01:29
    5. Deploy AWS EC2 instances 00:09:59
    6. Getting Started with ElasticSearch: Deploy AWS EC2 instances 00:04:44
    7. Download install packages 00:02:32
    8. ElasticSearch configuration 00:05:46
    9. ElasticSearch configuration (contd.) 00:07:23
    10. Explore ElasticSearch API editor 00:03:02
    11. Install Head plugin for ElasticSearch 00:03:39
    12. Explore Sense plugin for ElasticSearch 00:03:37
    13. Add a new document to ElasticSearch 00:01:18
    14. Anatomy of a PUT API request for ElasticSearch 00:01:21
    15. Add documents to ElasticSearch 00:07:00
    16. Retreive data from ElasticSearch 00:04:12
    17. ElasticSearch indexing - behind the scenes 00:08:52
    18. Introduction to ElasticSearch search queries 00:04:01
    19. Execute ElasticSearch search queries 00:04:44
    20. ElasticSearch advanced features 00:04:07
    21. ElasticSearch CAT APIs 00:03:05
    22. ElasticSearch high availability 00:06:41
    23. ElasticSearch scalability 00:05:38
  4. Chapter 4 : 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
  5. Chapter 5 : 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