This document provides an overview and introduction to Elastic Search. It discusses what Elastic Search is, why it is useful, common applications, key concepts and how to use it with Docker. Elastic Search is described as a distributed, open source, NoSQL database specialized for full-text search and analysis of structured and unstructured data. It indexes and stores data and allows for fast searching across large volumes of data.

1. ELASTIC SEARCH
https://github.com/asegme
n
Ahmet SEĞMEN
https://twitter.com/a_segme
n

2. AGENDA
1. What is Elastic Search ?
2. Why I do need Elastic Search ?
3. Which Application for Using ?
4. Elastic Directory Information
5. Elastic Concepts
6. Elastic With Docker
7. Demo

3. WHAT IS ELASTIC SEARCH ?
"You Know, for Search"

4. WHAT IS ELASTIC SEARCH ?
• Elasticsearch NoSql distributed full-text database
• It is a very highly-scalable document storage engine that specializes in
text base search

5. WHAT IS ELASTIC SEARCH ?
• ES is developed in Java
• ES is released as open source under the terms of the Apache License

6. What is Elastic Search ?
 Supported by .Net C#, Python , PHP etc.
 It has JSON based nature along with simple REST API

7. What is Elastic Search ?
 Created by Shey Bannon

8. Why do I need Elastic Search ?
SPEED RELEVANCY STATISTICS

9. Which Application for using ?
ALL DATA TYPES SEARCHING

10. GEO LOCATION SEARCHING & DISTANCE CALCULATION
Which Application for using ?

11. Which Application for using ?
DATAANALYSIS

12. Elastic Directory Information
DATA CONFIG

13. Elastic Directory Information
LIBRARY LOG

14. ELASTIC CONCEPTS

15. ELASTIC CONCEPTS
CLUSTER
DOCUMEN
T

16. ELASTIC CONCEPTS
INDEX TYPE

17. ELASTIC CONCEPTS
SHARD REPLICA

18. ELASTIC DIAGRAM

19. ELASTIC WITH DOCKER

20. Queries JUST DO IT