Personal Information
Organization / Workplace
Paris Area, France France
Occupation
Big Data Engineer and System Administrator
Industry
Technology / Software / Internet
Website
iscpif.fr/maziyar
About
Maziyar PANAHI is a big data engineer and a cloud architect with extensive experience in computer networks and software engineering. He has been developing software and planning networks for the last 14 years. In the past he also worked as a network engineer in high-level places after he completed his Microsoft and Cisco trainings (MCSE, MCSA, and CCNA). He has been designing and implementing large-scale databases and real-time Web services in public and private cloud such as AWS, OpenStack and OpenNebula for the past 6 years.
He is a system and network administrator, information security officer of a network with over 200 servers, cloud engineer of a private cloud (OpenNebula/OpenStack)...
Tags
elasticsearch
big data
mongodb
cnrs
hadoop
information security
kibana
logstash
redis
node.js
rabbitmq
See more
- Presentations
- Documents
- Infographics
Social, Digital & Mobile Around The World (January 2014)
We Are Social Singapore
•
10 years ago
Internet of Things
Vala Afshar
•
9 years ago
Scaling Instagram
iammutex
•
12 years ago
Top 5 Mistakes to Avoid When Writing Apache Spark Applications
Cloudera, Inc.
•
8 years ago
Kafka and Storm - event processing in realtime
Guido Schmutz
•
10 years ago
Node.js vs Play Framework
Yevgeniy Brikman
•
9 years ago
Realtime Analytics with Storm and Hadoop
DataWorks Summit
•
11 years ago
Infrastructure at Scale: Apache Kafka, Twitter Storm & Elastic Search (ARC303) | AWS re:Invent 2013
Amazon Web Services
•
10 years ago
MySQL vs. NoSQL and NewSQL - survey results
Matthew Aslett
•
11 years ago
Compression Options in Hadoop - A Tale of Tradeoffs
DataWorks Summit
•
10 years ago
Scaling massive elastic search clusters - Rafał Kuć - Sematext
Rafał Kuć
•
11 years ago
Why we chose mongodb for guardian.co.uk
Graham Tackley
•
13 years ago
MongoDB and hadoop
Steven Francia
•
12 years ago
Four Things to Know About Reliable Spark Streaming with Typesafe and Databricks
Legacy Typesafe (now Lightbend)
•
8 years ago
Scalable Event Analytics with MongoDB & Ruby on Rails
Jared Rosoff
•
13 years ago
Elasticsearch in Netflix
Danny Yuan
•
10 years ago
word2vec, LDA, and introducing a new hybrid algorithm: lda2vec
👋 Christopher Moody
•
8 years ago
Social Recommender Systems Tutorial - WWW 2011
idoguy
•
13 years ago
Building Large-scale Real-world Recommender Systems - Recsys2012 tutorial
Xavier Amatriain
•
11 years ago
Building a Node.js API backend with LoopBack in 5 Minutes
Raymond Feng
•
10 years ago