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A beginners' guide to getting started to Spark, for students by students

This event offers a Beginners's Guide to getting started to Apache Spark. Presentations are developed and taught by outstanding students from the “Master in Innovation and Research in Informatics” at UPC.

CONTENT:

Spark Introduction by Jordi Torres

Scala Basics by Beatriz Aguilar

Resilient Distributed Dataset basics by Paolo Silva

Key/values pairs by Muhammad Ali Orakzai & Zainab Abbas

SparkR light-weight frontend by Bartlomiej Zubrzycki & Mateusz Koziel

Tunning Spark Systems by Suzana Milutinovic & Vladimir Dimic

Spark SQL for structured data processing by Daniel Naro & Gabriela Valdés

GraphX for graph computation by Davis Jaunzems

Machine Learning with Spark and MLlib by Albert Fiol & Luis Expósito

Spark MLlib case study by Cristiano Massaroni & Alessio Rossotti

An introduction to Spark Streaming by Arya Ghodsi & Gonzalo Pericacho

File Formats and Filesystems by Marco Ribero

Advanced Spark Programming by Marco d'Amico

Running Spark on a Cluster by Lionel de la Cruz

Spark on Dockers containers by Eren Yagdiran

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