Presentazione del corso

Program and material

(Please, do not download too early: the material will be continuously updated until the end of the course)

• Introduction
  • Terminology, main aspects and examples of applications.
• Infrastructures and programming paradigms for big data
  
  • Hadoop MapReduce;
  • Lab on Hadoop and MapReduce and related source code. (new)
  • Cloud computing;
  • Lab on Hadoop on Cluster in the Cloud an related source code. (new)
• Big data processing
  
  • Hive
  • Lab on Hive; (new)
  • Spark
  • Lab on Spark and related source code; (new)
  • Lab on Spark Streaming and related source code; (new)
  • Examples of applications in Python; (new)
  • Beyond MapReduce and Spark.
• NoSQL systems
  • Introduction and data models
  • Sharding, replication and consistency
  • Implementation
  • Lab on NoSQL systems (new)
• Big data analytics
  
  • Methods and techniques for data analysis
  • Examples of Spark applications using MLlib, a library of ML algorithms  (new)
• Seminars
• Explainable interpretations for the Entity Resolution task. Donatella Firmani (Roma Tre)
• Gemelli Generator: Beyond Ontology Awarness. Vincenzo Valentini, Antonio Marchetti, Andrea Damiani, Stefano Patarnello (Policlinico Gemelli);