6. Elasticsearch in 1 slide
• More than 11 million downloads
• 650,000 New Downloads per Month
• 1000s of Mission Critical Implementations
• Top Investors: Benchmark Capital, Index
Ventures
• Seasoned Executive Team
– Founded by Creator of Elasticsearch
– Seasoned Executives from SpringSource
8. Big Data in Todayʼs Business and Technology
Environment : some significant figures
• 2.7 Zetabytes of data exist in the digital universe today. (=1 billion Terabytes)
• 235 Terabytes of data has been collected by the U.S. Library of Congress in
April 2011.
• Facebook stores, accesses, and analyzes 30+ Petabytes of user generated
data.
• Akamai analyzes 75 million events per day to better target advertisements.
• Walmart handles more than 1 million customer transactions every hour,
which is imported into databases estimated to contain more than 2.5 petabytes
of data.
• The largest AT&T database boasts titles including the largest volume of data in
one unique database (312 terabytes) and the second largest number of rows in
a unique database (1.9 trillion), which comprises AT&Tʼ’s extensive calling
records.
• Hadoop :
– 94% of Hadoop users perform analytics on large volumes of data not
possible before
– 88% analyze data in greater detail;
– while 82% can now retain more of their data.
9. The Rapid Growth of Unstructured Data
• YouTube users upload 48 hours of new video every minute of the
day.
• 500+ new websites are created every minute of the day.
• Brands and organizations on Facebook receive 34,722 Likes every
minute of the day.
• 100 terabytes of data uploaded daily to Facebook.
• According to Twitterʼ’s own research in early 2012, it sees roughly
175 million tweets every day, and has more than 465 million
accounts.
• 30 Billion pieces of content shared on Facebook every month.
Data production will be 44 times greater in 2020 than it was in 2009.
10. Big Data & Real Business Issues
• 25+ % of decision‐makers surveyed predict that data volumes in their
companies will rise by more than 60% by the end of 2014, with the
average of all respondents anticipating a growth of no less than 42 %.
• 40% projected growth in global data generated per year vs. 5% growth in
global IT spending.
• According to estimates, the volume of business data worldwide, across all
companies, doubles every 1.2 years.
– Poor data can cost businesses 20%–35% of their operating revenue.
– Bad data or poor data quality costs US businesses $600 billion annually.
• 75+ % of decision-makers surveyed anticipate significant impacts in the
domain of storage systems as a result of the “Big Data” phenomenon.
• We anticipate a new challenge : to be able to Search and Analyse all
those datas … in real time !
11. Elasticsearch
A solution already in production
with significant french
implementations
Revolutionizing Data Search and
Analytics
Richard Maurer– SEMEA Territory Manager
12. Purpose of Elasticsearch
• Organize data and make it easily accessible
– Through powerful search and analytics
– Easily consumable (even for non-data scientists)
– Elegantly handles extremely large data volumes
– Delivers results in real time
• Technology stack agnostic
• Used across all market verticals
13. Features of Elasticsearch
• Structured & unstructured search
• Advanced analytics capabilities
• Unmatched performance
• Real-time results
• Highly scalable
• User friendly installation and maintenance
14. Elasticsearch 1.4: a solution
production ready
• Real time data Indexation
• Distributed
• High Availability
• Schema Free
• Real Time Data Analytics
• Multi Tenancy
• Much more….
17. French Use Cases
Bouygues Telecom:
Uses Elasticsearch in their Big Data Platform. Cut their web resolution time by 10X
Daily Motion:
Indexing their 20 million Videos on Elasticsearch. On production for over 2 years
Voyages SNCF
They have recently announced ES has being live on their “Usine Logicielle”
Fotolia:
Search Engine made on Elasticsearch, to access 24 Million Images, move over to ES
Orange:
With over 1.2 billion docs, looking at better solution and cost reduction
18. Product Offerings:
Support Throughout Your Project
1. Core Elasticsearch Training (2 days)
2. ELK Workshop (1 day)
3. Development and Production Support
4. Marvel, Monitoring of your ES clusters
59. • One to many
• ~ Zero conf
• Cloud oriented
• Scalability DNA
• Replication
• Sharding
• Distributed
• Resilience
• Snapshot
• Restore
Start Small Grow Big
60. • One to many
• ~ Zero conf
• Cloud oriented
• Scalability DNA
• Replication
• Sharding
• Distributed
• Resilience
• Snapshot
• Restore
Start Small Grow Big
66. Combining Hadoop & ElasticSearch
• REST based
• Memory and I/O efficient
• Adaptive I/O
• Map/Reduce API support
• Pig support
• Hive support
elasticsearch-hadoop
79. Conclusion
• Il est temps de révolutionner la façon dont vous valorisez
vos données : offrez Elasticsearch à vos applicatifs !
• La stack ELK (Elasticsearch, Logstash, Kibana) est déjà
massivement utilisée en production !
• Faites vous accompagner pour bénéficier des bonnes
pratiques et du support à tous les stades de votre projet :
conception, développement, production
