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DataXDay 2019: “Give meaning to 100 billion analytics events a day, analytics at Teads”
Sunny Tech 2019: “Scaling on-call”
Lessons learned while optimizing Spark aggregation jobs
Google Cloud Next 2019: “Data Warehousing at Teads with BigQuery”
Give meaning to 100 Billion events a day — Part II
Spark troubleshooting from the trenches
JVM and cache warm-up strategies for high traffic services
Scala IO 2018: “Scala code review best practices”
DevopsRex Paris 2018: “Scaling on-call”
Spark Summit Europe 2018: “Machine Learning for AdTech in action”
DevConf PL 2018: “Tools and Team for 20 Billion PageView/Month”
Growing a feature team using lanes
The birth of a Tech Conference in Montpellier
Spark performance tuning from the trenches
Give meaning to 100 billion analytics events a day
Easy Cassandra scaling
Scaling your on-duty team
Machine Learning @ Teads — Part II
ScalaIO 2017 Recap
Real-life AWS cost optimization strategy
ScalaIO 2017: “Kleisli, your best friend”
Machine Learning @ Teads
Google Cloud Next 2017: “How Teads processes 30 billion streaming events per day”
AWS Paris Summit 2016: “Keynote”
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