Introduction to Big Data • Part I: Managing Big Data - Distributed Systems - Distributed Relational DBMSs ⁃ Limitations of the relational approach ⁃ Introduction to the NoSQL DBMSs - The Key Value approach -- Redis: --- design principles --- data modelling --- data querying -- Cassandra: --- architecture --- design principles --- data modelling --- data querying --- Java binding - The Document based approach -- MongoDB: --- architecture --- design principles ⁃-- the JSON format --- data modelling --- data querying --- Java binding -- Neo4J: --- architecture --- design principles --- data modelling --- data querying --- Java binding • Part II: Big Data Computing - Processing Big Data - The distributed approach - The MapReduce paradigm - Apache Hadoop -- architecture -- design principles - Apache Spark -- architecture -- design principles -- distributed programming with Spark: --- Resilient Distributed Data structures --- Actions and Transformations --- distributed joins --- Dataframes and Datasets --- case studies: ---- Implementing a distributed data exploration framework ---- Implementing a distributed ETL procedure ---- Implementing a distributed recommendation engine ---- Implementing a graph analytics framework

Appunti, articoli scientifici ed altro materiale didattico forniti dal docente durante il corso.