1. A presentation on ElasticSearch
By Accel Japan KK
Witten by - Venkateswarlu & Biju Saikia 

2. What is ElasticSearch
In short, it can be thought of as “search engine software”
It provides the realistic potential for you to run your own search engine service (like a Bing or a Google) but with say, private, sensitive, or confidential data/documents that you don’t want on the public web
Great extra capability for your company, enterprise, app, startup, client
Elasticsearch is an open-source, distributed web application that runs on top of Lucene, and it is written in Java, and it supports REST API
Apache Lucene is the best open-source search engine, and probably one of the best search engines available, and holds its own even when compared against the most expensive commercial alternatives
Very fast search
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3. What makes it unique ?
Fast, Incisive Search against Large Volumes of Data
On the same hardware, when a relational database query that would take more than 10 seconds using SQL will return results in under 10 milliseconds in case of Elasticsearch.
Elasticsearch provides a distributed, multitenant-capable full-text search engine with a RESTful web interface and schema-free JSON based document store.
Has an real-time analytics engine Kibana and logstash log and event analyzer that compete with very popular tool like Splunk. ( )
Denormalized Document Storage: Fast, Direct access to your Data
Indexing Documents to the Repository
Easy to deploy (minimum configuration)
Scalability (Scales vertically and horizontally )
Modules for most of the programming/scripting languages.
It’s free (Open Source: Apache License 2.0)
Distributed & High availability
Fault tolerance
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4. Where can we use Elastic ?
Enterprise Search
Analytics
Elastic tool can be used in various Product Search Engine development like:
Blog Search
Document Search
E-commerce product Search
People search
Site search
Elastic as a distributed platform provides two strong tools .
Kibana 
A tool for Flexible analytics and visualization platform.
Logstash
An ETL tool to process Any Data, From Any Source
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5. Elastic in future enterprises
Dataset size is always a concern in BigData analysis which often grows exponentially. The real challenge is to figure out a way to store and analyze such a huge amount of data as efficiently as possible and to make that data easily searchable for users, by providing them with advanced queries which usually takes several days to finish.
Hence, ElasticSearch, an open-source Java based full text indexing system, can be a robust solution in BigData analysis which allows to query and explore the huge data set in very less time. ElasticSearch can be an ideal solution in BigData analysis, as BigData analysis demands a robust distributed architecture as well.
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6. Elastic in future enterprises
Fuzzy Search
This is a semantic approach in ElasticSearch to determine the user's intent, rather than just focusing on keywords (as it’s the approach for most e-commerce shopping carts out of the box). This feature could mean synonyms, spell-correction, field boosting etc. Collectively, these can be thought of as a "Did You Mean?" experience.
Speed
Most shopping carts utilize relational database out of the box. These are powerful and free, but can be slow, especially if your product catalog is in the tens of thousands. So, ElasticSearch can provide a real boost to the conventional E-commerce Solutions in Next-gen enterprises.
Geo-search
Features such as store locators, or tagging users in your vicinity are possible with ElasticSearch.
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7. Elastic is adopted worldwide
People all around the world, across visrtually every industry are leveraging the power of Elastic products to do incredible work.
Goldman Sachs
ING
FICO
BANKING & FINANCE
GitHub
Microsoft
CISCO
Mozilla
Facebook
TECHNOLOGY INDUSTRY
MEDIA & ENTERTAINMENT
Mc Graw Hill
The Newyork Times
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8. Questions? Need more inputs?
Please contact the below for any questions, queries or suggestions you might have
Authors
Venkateswarlu
Biju Saikia