François Garillot

21 Abonné

I get a kick out of diving in a large-scale analytics project, and making it scale reliably, using the best modern architectures and custom, scalable algorithms. Apache Spark Streaming Contributor and first ever developer certified for Spark by Databricks & O'Reilly. Co-wrote a paper on Scala's type system with Martin Odersky. Data Science & algorithmics work on internet advertisement auction models, customer segmentation at the largest ad retargeters in Europe. Works on mobility data in near real-time, with data flowing in at the scale of a country (15E12 records/day).

apache spark big data scala télécommunications containers java streams expression problem programming types rust yarn distributed computation spark deep learning gpu rnn jvm mesos cluster sgd gpgpu mobile hadoop mobility strata hashing locality sensitive hashing devops machine learning apache mesos war story software data science collections

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François Garillot

Présentations

Scala Collections : Java 8 on Steroids

Diving In The Deep End Of The Big Data Pool

Ramping up your Devops Fu for Big Data developers

A Gentle Introduction to Locality Sensitive Hashing with Apache Spark

Spark Streaming : Dealing with State

Delivering near real time mobility insights at swisscom

Mobility insights at Swisscom - Understanding collective mobility in Switzerland

Deep learning on a mixed cluster with deeplearning4j and spark

Growing Your Types Without Growing Your Workload

J’aime

MLconf NYC Animashree Anandkumar

Spark Streaming: Pushing the throughput limits by Francois Garillot and Gerard Maas

Data Science in 2016: Moving Up

Recipes for Running Spark Streaming Applications in Production-(Tathagata Das, Databricks)