Sesión 1:
Tecnología del Big Data
1.1. Introduction to BigData
1.2.Hadoop framework and ecosystem
1.3.Spark framework fundamentals:
Core concepts: In-memory distributed computation.
Spark data structures and processing workflow: RDDs, actions and transformations.
Stream processing.
1.4.Hands-on exercise: counting words in large documents.
Sesión 2:
Ciencia de Datos aplicada al Big Data
2.1.Big Data Analytics: methodology and use cases
2.2.Classification algorithms.
2.3.Hands-on exercise: Predicting Titanic survival with Decision Trees.
2.4.Clustering algorithms.
2.5.Hands-on exercise: urban population clustering
Sesión 3:
Analizando datos en internet y redes sociales.
3.1.Social Mining fundamentals.
3.2.Sentiment analysis.
3.3.Hands-on exercise: twitter analysis.