Big Data: HOW TO SCALE FROM ZERO TO BILLIONS!

real-time data analytics

How Big Data platform scaled from zero to billions of data within 6 months at ISCPIF (CNRS).


This talk contains our use of Elasticsearch, MongoDB, Redis, RabbitMQ and scalable/high available Web services built over Big Data architecture.

This presentation was presented at Université Paris-Sud, LAL, Bâtiment 200 organized by ARGOS. https://indico.mathrice.fr/event/2/overview

ISCPIF: http://iscpif.fr
Big Data at ISCPIF: http://bigdata.iscpif.fr
Climate at ISCPIF: http://climate.iscpif.fr
Playground for climate: http://climate.iscpif.fr/playground
Tweetoscope: http://tweetoscope.iscpif.fr

Big Data: What I am thankful this Thanksgiving!

big data at iscpif

Big Data platform at ISCPIF: This list represents what I am thankful to this Thanksgiving

  • Elasticsearch You know for search!

This is the heart and the soul of our discovery and curiosity. The first step of every data analytics is finding the right data. Behind every great data discovery there must be a great search engine 🙂 And this is where Elasticsearch comes to the rescue with all its advanced real-time data analytics and powerful full-text search abilities built over Apache Lucene.
ISCPIF Big Data platform uses Elasticsearch and its built-in distributed and high availability feature with over 900 million documents indexed in order to facilitate data discoveries and explorations for our researchers and scientific partners.

So I am thankful to Elasticsearch for the past 2 years, which made my life much easier and made me a better engineer.
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