HN user
Statistician engineer
Data Scientist/Data Engineer
Location: Paris, France
Remote: Yes
Willing to relocate: Yes
Technologies: Data Science/Machine Learning (clustering, prediction, anomaly detection...), Hadoop, Spark, Elasticsearch, Kafka, Scala, Python, Ansible
Resume/CV: https://fr.linkedin.com/in/juliennaour
Email: julnaour at gmail dot com
One Thing I did: https://www.youtube.com/watch?v=MbXzYLS_uTE
I'm the second guy
Data Scientist/Data Engineer
Location: Paris, France
Remote: Yes
Willing to relocate: Yes
Technologies: Data Science/Machine Learning (clustering, prediction, anomaly detection...), Hadoop, Spark, Elasticsearch, Kafka, Scala, Python, Ansible
Resume/CV: https://fr.linkedin.com/in/juliennaour
Email: julnaour at gmail dot com
One Thing I did: https://www.youtube.com/watch?v=MbXzYLS_uTE
I'm the second guy
/dev/null probably.
Data Scientist/Data Engineer
Location: Paris, France
Remote: Yes
Willing to relocate: Yes
Technologies: Data Science/Machine Learning (clustering, prediction, anomaly detection...), Hadoop, Spark, Elasticsearch, Kafka, Scala, Python, Ansible
Resume/CV: https://fr.linkedin.com/in/juliennaour
Email: julnaour at gmail dot com
Thing I did: https://www.youtube.com/watch?v=MbXzYLS_uTE I'm the second guy
Made me thinks of the last season of House of Cards. Really a good one, really neat and engaged in some aspect like Reign by Terror, Manufacturing consent using search engine, relation with Russia...
One of other HN article is about Facebook data used for social studies. If you are not paying for it, you're not the customer; you're the product being sold.
Data Scientist/Data Engineer
Location: Paris, France
Remote: Yes
Willing to relocate: Yes
Technologies: Data Science/Machine Learning (clustering, prediction, anomaly detection...), Hadoop, Spark, Elasticsearch, Kafka, Scala, Python, Ansible
Resume/CV: https://fr.linkedin.com/in/juliennaour
Email: julnaour at gmail dot com
Thing I did: https://www.youtube.com/watch?v=MbXzYLS_uTE
I'm the second guy
Have anybody works with Mesos?
How does it compare to Yarn, particularly in a production perspective? Is it stable, easy to integrate?
We are currently thinking to switch from a Kafka-Spark(on Yarn)-Mongo stack to a SMACK stack (Spark, Mesos, Akka, Cassandra, Kafka)[1]. It seems that there is a good integration between theses projects. Also you can run Docker on Mesos using Marathon[2] so not only our data-driven stack could be on Mesos but the full stack.
[1] https://mesosphere.com/blog/2015/07/24/learn-everything-you-...
Seems to be his first indie: http://openbargame.com/
Similar concept, but more youtube and french oriented: https://www.tipeee.com/
Probably one of the worst disease for family and closest ones. You see someone you know and love be more and more a stranger to you and a stranger to themselves.
It's something that I was wondering: is there some kind of DNA library with samples of every species DNA, us included? I'm not a biologist but I guess with samples of 100 individuals it could be possible to "recreate" a whole species.
Anyone has experience with this project? We are currently thinking about using it in our cluster with Spark Streaming instead of an external DB (MongoDB)
Made me think about http://tulip.labri.fr/TulipDrupal/
It's more a graph (ie relational) visualization tool.
JS port in progresse AFAIK.
Location: Paris, France
Remote: Yes
Willing to relocate: Yes
Technologies: Data Science/Machine Learning (clustering, prediction, anomaly detection...), Hadoop, Spark, Elasticsearch, Scala, Python
Resume/CV: https://fr.linkedin.com/in/juliennaour
Email: julnaour at gmail dot com
Really interesting blog post by one of the guys behind Kafka related to this topic: http://engineering.linkedin.com/distributed-systems/log-what...
There is several optimization algorithms that are inspired by nature. Especially Ant Colony Optimization.
http://www.wikiwand.com/en/Swarm_intelligence
http://www.wikiwand.com/en/Ant_colony_optimization_algorithm...
As a french I really don't understand why French government doesn't do massive long term investment in Africa other than simple explotation of natural ressources. As many study says Africa is the future Asia with >8% growth and huge amount of population [1]. Even if there is a eavy colonial past and really bad things as Rwanda we share a language and some values.
[1] http://www.theatlantic.com/international/archive/2012/05/the...
Probably this link: http://www.itexto.com.br/devkico/en/?p=60
What I feel right now is that the hiring process is more and more based on personnal branding. If you want to have a job interview in top startup you have to have a good github, smart blog posts, a good stackoverflow, a good kaggle, some certificats from coursera, some conf etc.
It's a good thing for hiring process, you could judge a candidat more easely if you could read some of his code or thoughts. You could have more interesting job offers from people that actually understand what you do. The problem is that you have to spend lot of time in improving these things. Some are easy because it's natural to do some work on a open source project that you're interested in, the personnal branding thing it's just a bonus, but some other need works...
I believe that in all automatic job applying process that I tried recently there were fields for linkedin, github, personnal blogs, websites etc.
elasticsearch.com works on security problems and will offer a solution: Shield [1]
It seems that you have to pay the support to enable Shield on elasticsearch. Probably the same business model as for marvel, free as in free beer for development and have to pay for production
One of the main aspect that interest me in vinyls is the fact that you could not skip a song. You really listen to a whole album. You could discover new songs that you're not used to listen.
For me it's that that really make the differents with MP3/Playlist in which you are in a full-consumer mode spending half your time skipping songs.
Good introduction. Spark is really a project to watch in the data analysis field on distributed architecture. We had performed several benchmarks and Spark keeps its promisses. 2.5x faster comparing to Pig for the same algorithm on the same cluster.
For iterative algorithm with the in-memory possibilities, performances are really good comparing to Hadoop.
The project is still young with several bugs but the documentation is really good and the code is well commented and robust.
Location: Paris, France
Remote: No
Willing to relocate: Yes
Technologies: Statistician engineer with specialization in Big Data: SciPy stack, SAS, Hadoop stack (Pig, Hive, ...), Spark, elasticsearch, Java, Scala, Python, SQL, JavaScript
Resume: http://www.linkedin.com/in/juliennaour
Email: julnaour {at} gmail (.) com
Initially, Bezos wanted a name for his company that began with an "A" for alphabetic list purpose.