Shapeless y Big data con Spark

Yuji Kiriki nos hablará de Shapeless

https://github.com/milessabin/shapeless

"Shapeless is a type class and dependent type based generic programming library for Scala. It had its origins in several talks by Miles Sabin (@milessabin), given over the course of 2011, on implementing scrap your boilerplate and higher rank polymorphism in Scala. Since then it has evolved from being a resolutely experimental project into library which, while still testing the limits of what's possible in Scala, is being used widely in production systems wherever there are arities to be abstracted over and boilerplate to be scrapped."

Joao Salcedo nos hablará sobre BIg Data y Spark.

https://spark.apache.org/

"Apache Spark is a fast and general-purpose cluster computing system. It provides high-level APIs in Java, Scala and Python, and an optimized engine that supports general execution graphs. It also supports a rich set of higher-level tools including Spark SQL (https://spark.apache.org/docs/latest/sql-programming-guide.html) for SQL and structured data processing, MLlib (https://spark.apache.org/docs/latest/mllib-guide.html) for machine learning, GraphX (https://spark.apache.org/docs/latest/graphx-programming-guide.html) for graph processing, and Spark Streaming (https://spark.apache.org/docs/latest/streaming-programming-guide.html)."