Cargando…
Revealing Insights from Data
<!--HTML--><p style="text-align: justify;">The proposed agenda goes as follows: <ul> <li style="text-align: justify;">Elastic Company : Emmanuel Brochard, Sales Director SEMEA</li> <li style="text-align: justify;">Logstach for shipp...
Autores principales: | , |
---|---|
Lenguaje: | eng |
Publicado: |
2015
|
Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2019744 |
_version_ | 1780946813925195776 |
---|---|
author | Hardy, Alan Urbon, Pere |
author_facet | Hardy, Alan Urbon, Pere |
author_sort | Hardy, Alan |
collection | CERN |
description | <!--HTML--><p style="text-align: justify;">The proposed agenda goes as follows:
<ul>
<li style="text-align: justify;">Elastic Company : Emmanuel Brochard, Sales Director SEMEA</li>
<li style="text-align: justify;">Logstach for shipping and monitoring infrastructure : Pere Urbon, Software Engineer</li>
<li style="text-align: justify;">Elasticsearch - Speed at scale : Alan Hardy, Solution Architect</li>
<li style="text-align: justify;">Kibana Demo - Explore & Visualize Your Data : Pere Urbon, Software Engineer</li>
</ul>
<p style="text-align: justify;">
The Elasticsearch presentation will go into the main technical components,
constructs and concepts underpinning the technology.
This includes the distributed computing model, data partitioning, data
balancing, consensus model, write/read scalability, high level overview of
the query & analytics DSL and strategies for scaling time-series structured
data for extreme read/write deployments.</p>
<h4>About the speakers</h4>
<p style="text-align: justify;">Pere Urbon is a software engineer at Elastic and prolific open source contributor. He’s spent more than a decade as a technologist, honing his love of data and databases as a researcher and coder. Pere has also spoken at many conferences worldwide, with a particular focus on graph processing and bringing meaning to your data sets. He’s proud to be the organizer of the first ever Graph Processing Developer Room at the annual FOSDEM conference.</p>
<p style="text-align: justify;">Alan Hardy is a Solution Architect at Elastic based in London. He comes from a background as a consultant and a developer spanning: Financial, Media, Web and Telecommunication industries for the past 15 years.</p>
<h4>About Elastic</h4>
<p style="text-align: justify;">Founded in 2012 by the people behind the Elasticsearch and Apache Lucene open source projects, Elastic provides real-time insights and makes massive amounts of structured and unstructured data usable for developers and enterprises. By focusing on scalability, ease-of-use, and ease-of-integration, Elasticsearch, Logstash, and Kibana power many of the world’s leading mobile, social, consumer and business applications. Since its initial release, the open source stack has achieved more than 20 million cumulative downloads. Elastic is backed by Benchmark Capital, Index Ventures, and NEA with headquarters in Amsterdam and Mountain View, California, and offices and employees around the world. To learn more, visit <a href="http://www.elastic.co" target="_blank">www.elastic.co</a>.</p>
|
id | cern-2019744 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2015 |
record_format | invenio |
spelling | cern-20197442022-11-02T22:28:00Zhttp://cds.cern.ch/record/2019744engHardy, AlanUrbon, PereRevealing Insights from DataRevealing Insights from DataCERN Computing Seminar<!--HTML--><p style="text-align: justify;">The proposed agenda goes as follows: <ul> <li style="text-align: justify;">Elastic Company : Emmanuel Brochard, Sales Director SEMEA</li> <li style="text-align: justify;">Logstach for shipping and monitoring infrastructure : Pere Urbon, Software Engineer</li> <li style="text-align: justify;">Elasticsearch - Speed at scale : Alan Hardy, Solution Architect</li> <li style="text-align: justify;">Kibana Demo - Explore & Visualize Your Data : Pere Urbon, Software Engineer</li> </ul> <p style="text-align: justify;"> The Elasticsearch presentation will go into the main technical components, constructs and concepts underpinning the technology. This includes the distributed computing model, data partitioning, data balancing, consensus model, write/read scalability, high level overview of the query & analytics DSL and strategies for scaling time-series structured data for extreme read/write deployments.</p> <h4>About the speakers</h4> <p style="text-align: justify;">Pere Urbon is a software engineer at Elastic and prolific open source contributor. He’s spent more than a decade as a technologist, honing his love of data and databases as a researcher and coder. Pere has also spoken at many conferences worldwide, with a particular focus on graph processing and bringing meaning to your data sets. He’s proud to be the organizer of the first ever Graph Processing Developer Room at the annual FOSDEM conference.</p> <p style="text-align: justify;">Alan Hardy is a Solution Architect at Elastic based in London. He comes from a background as a consultant and a developer spanning: Financial, Media, Web and Telecommunication industries for the past 15 years.</p> <h4>About Elastic</h4> <p style="text-align: justify;">Founded in 2012 by the people behind the Elasticsearch and Apache Lucene open source projects, Elastic provides real-time insights and makes massive amounts of structured and unstructured data usable for developers and enterprises. By focusing on scalability, ease-of-use, and ease-of-integration, Elasticsearch, Logstash, and Kibana power many of the world’s leading mobile, social, consumer and business applications. Since its initial release, the open source stack has achieved more than 20 million cumulative downloads. Elastic is backed by Benchmark Capital, Index Ventures, and NEA with headquarters in Amsterdam and Mountain View, California, and offices and employees around the world. To learn more, visit <a href="http://www.elastic.co" target="_blank">www.elastic.co</a>.</p> oai:cds.cern.ch:20197442015 |
spellingShingle | CERN Computing Seminar Hardy, Alan Urbon, Pere Revealing Insights from Data |
title | Revealing Insights from Data |
title_full | Revealing Insights from Data |
title_fullStr | Revealing Insights from Data |
title_full_unstemmed | Revealing Insights from Data |
title_short | Revealing Insights from Data |
title_sort | revealing insights from data |
topic | CERN Computing Seminar |
url | http://cds.cern.ch/record/2019744 |
work_keys_str_mv | AT hardyalan revealinginsightsfromdata AT urbonpere revealinginsightsfromdata |