A Multidisciplinary Perspective On Big Data 2017

This is the official web page of the 2017 edition of the PhD course of Politecnico di Milano on "A Multidisciplinary Perspective On Big Data".

LECTURERS

Responsible : Emanuele Della Valle

Lectures:  Danilo Ardagna, Michela Arnaboldi, Paolo Ciuccarelli, Emanuele Della Valle, Simone Vantini

Other Lecturers: Cinzia Cappiello, Paolo Cremonesi, Elisabetta Di Nitto, Pier Luca Lanzi, Letizia Tanca

MISSION AND GOALS

The term Big Data refers to a growing torrent of information that, if successfully analyzed, can unleash new business opportunities and revenues. This course aims at introducing Big Data analytics methods and includes practical sessions on PoliMI’s Big Data computational infrastructure.

CLASSES

  • Introduction to big data and data base fundamentals (3 hours)
    • 1.3.2017 - 10:00-13:00 - in the Seminar Room of building 20
      prof. Della Valle and prof. Tanca
  • Mastering the volume dimension (6 hours)
    • 8.3.2017 - 9:30-11:30 in the Conference Room of building 20
      prof. Cremonesi
      • Introduction to cloud computing and Technologies for Infrastructure-as-a-Service [slides]
    • 8.3.2017 - 14:30-16:30 in the Conference Room of building 20
      prof. Ardagna
      • Map Reduce from Hadoop to Spark [slides]
    • 9.3.2017 - 10:00-12:00 in the Seminar Room of building 20
      prof. Di Nitto
      • NoSQL databases for Big Data [slides]
  • Mastering the variety dimension (3 hours)
    • 14.3.2017 - 10:00-11:00 in the Conference Room of building 20
      prof. Tanca
      • Data Integration principles, approaches and tools [slides]     
    • 14.3.2017 - 11:00-13:00 in the Conference Room of building 20
      prof. Della Valle and
      • The role of Ontologies and Semantic Web technologies [slides]
  • Mastering the velocity dimension (2 hours)
    • 16.3.2017 - 10:00-12:00 in the Conference Room of building 20
      prof. Della Valle
      • Information flow processing principle, approaches and tools [slides]       
      • velocity for Big Data with Spark [slides][video]
  • Mastering the veracity dimension (2 hours)
    • 16.3.2017 - 14:30-16:30 in the Conference Room of building 20
      prof. Cappiello [slides]
      • data quality, definitions, dimensions, approaches and tools
      • uncertainty and data quality problems in big data
  • Making sense of Big Data (8 hours)
    • 21.3.2017 - 10:00-12:00 in the Seminar Room of building 20
      prof. Ciuccarelli
    • 22.3.2017 - 10:00-12:00 in the Conference Room of building 20
      prof. Lanzi
      • Knowledge discovery and Data Mining in the Big Data era [slides]
    • 23.3.2017 - 10:00-13:00 in the Conference Room of building 20
      prof. Vantini
  • Creating Value with Big Data (3 hours)
    • 31.3.2017 - 10:00-13:00 in the Seminar Room of building 20
      prof. Arnaboldi [slides,excel]
      • dimension and structure of the Big Data Market
      • organizational issues in Big Data project (skills, processes, success/failure factors)
  • Student reporting session (4 hours or less)
    • 1.6.2017 - time to be decided - room to be dedide


TEACHING MATERIALS

The course material consists in slides prepared by the lecturers, links to on-line tutorials, and the dataset of Telecom Italia Big Data Challenge.

Last Updated ( Friday, 31 March 2017 )