Big Data Architecture: The Apache framework

A.Y. 2018/2019
Course offered to students on the PhD programme in
3
ECTS
15
Overall hours
Lesson period
February 2019
Language
English
Lead instructor: Marco Anisetti
Nowadays Big Data is becoming a sort of buzzword, while it refers to a very precise architectures and principles. In this course a model based approach to big data analytics is presented together with a detailed description on the mostly used ecosystems of tools and libraries aimed at provide the computation and storage capabilities required to execute complex analytical tasks.
Nowadays Big Data is becoming a sort of buzzword, while it refers to a very precise architectures and principles. In this course a model based approach to big data analytics is presented together with a detailed description on the mostly used ecosystems of tools and libraries aimed at provide the computation and storage capabilities required to execute complex analytical tasks.
Nowadays Big Data is becoming a sort of buzzword, while it refers to a very precise architectures and principles. In this course a model based approach to big data analytics is presented together with a detailed description on the mostly used ecosystems of tools and libraries aimed at provide the computation and storage capabilities required to execute complex analytical tasks.
Undefined
Assessment methods
Giudizio di approvazione
Assessment result
superato/non superato
How to enrol

Deadlines

The course enrolment deadline is usually the 25th day of the month prior to the start date. More specifically:

  • 27 December 2021 for courses starting in January 2022
  • 25 January 2022 for courses starting in February 2022
  • 25 February 2022 for courses starting in March 2022.

Deadlines for enrolment in other courses will be announced as soon as possible.

How to enrol

  1. Access enrolment on PhD courses online service using your University login details
  2. Select the desired programme and click on Registration (Iscrizione) and then on Register (Iscriviti)

Ignore the option "Exam session date” that appears during the enrolment procedure.

Contact

For help please contact phd@unimi.it

Professor(s)
Reception:
By appointment only
At Dipartimento di Informatica (Room BP71) in via Bramante 65, Crema (CR)