Cedric Carbone
Bonjour à tous,
Nous avons le plaisir de vous inviter au Spark meetup le lundi 26 octobre chez Google (8 rue de Londres à Paris) à 18h00.
Nous aurons le plaisir d'avoir 3 supers speakers dont certains venus des US pour vous parler des dernières nouveautés autour de Spark.
• 6h-6h15 Welcome
• 6:15-6:45 : Google Dataproc by Sébastien Agnan, Cloud Platform Sales Engineer at Google and Vincent Heuschling, General Manager of AffiniTechThanks!
Google Cloud Dataproc is a managed Hadoop MapReduce, Spark, Pig, and Hive service https://cloud.google.com/dataproc/
Sébastien Agnan a rejoint Google for Work en 2012 et assume aujourd'hui la responsabilité technique de l'offre Google Cloud Platform (IaaS/PaaS/Big Data) pour l’Europe du Sud. Spécialiste des architectures Cloud, il accompagne les clients Google for Work pour concevoir des solutions innovantes, en exploitant les nouvelles technologies et architectures Cloud comme le BigData, les backend mobiles, le Real Time Bidding, ... Sébastien, diplômé de l'ESEO, avec une spécialisation en architecture des systèmes d'information, était architecte puis avant ventes chez ORACLE, avant de rejoindre Google.
Vincent Heuschling is the founder of Affini-Tech a company dedicated to Bigdata solutions. He leads a team of data-engineers to help his customer to build their Bigdata Platforms. As a Google Cloud partner, Affini-tech use the Google Cloud Platform every day to run bigdata solutions like Hadoop, Spark, and Cassandra.
• 6h45-7:30 : Deep dive into Project Tungsten: Bring Spark closer to bare metal by Reynold Xin, Co-Founder of Databricks, key Spark Committer
Project Tungsten focuses on substantially improving the efficiency of memory and CPU for Spark applications, to push performance closer to the limits of modern hardware.
This effort includes three initiatives:
1. Code generation: using code generation to exploit modern compilers and CPUs
2. Cache-aware computation: algorithms and data structures to exploit memory hierarchy
3. Memory Management and Binary Processing: leveraging application semantics to manage memory explicitly and eliminate the overhead of JVM object model and garbage collection
Project Tungsten will be the largest change to Spark’s execution engine since the project's inception. In this talk, we will give an update on its progress and dive into some of the technical challenges we are solving.
Reynold Xin is a committer and PMC member of Apache Spark. He is also a co-founder of Databricks and oversees architectural directions for Spark. Before Databricks, he was pursuing a Ph.D. in the University of California-Berkeley AMPLab, where Spark was born.
• 7:30-8:15 : Spark after dark by Chris Fregly, Engineer at IBM Spark Technology Center in San Francisco
Spark After Dark is a mock dating site that uses the latest Spark libraries, AWS Kinesis, Lambda Architecture, and Probabilistic Data Structures to generate dating recommendations.
Chris is a former Databricks and Netflix Engineer, now at the IBM Spark Technology Center in San Francisco. He is a Spark Contributor and author of 2 books about Spark (sparkinaction.com effectivespark.com)
• 8:15-9:30 : networking
Merci de vous enregistrer (http://www.meetup.com/Paris-Spark-Meetup/events/226170066/) afin que l’on puisse s’assurer du bon déroulement logistique.
Un grand merci à Google pour nous prêter leur salle et s'occuper de l'apéritif dinatoire.
L'équipe HUG France
http://hugfrance.fr