Technologies for Big Data Management

Exam update: the exam scheduled for 29 September 2025 will take place at *10:00* in one of the student classroom at the Computer Science Polo B.
Exam update: the exam scheduled for 8 September 2025 will take place in Room LB1 at the Computer Science Polo B.
exam are available here.
Exam results: the results of the 07 July 2025 exam are available here.
Exam results: the results of the 23 June 2025 exam are available here.
Exam results: the results of the 24 February 2025 exam are available here.
Exam results: the results of the 3 February 2025 exam are available here.
Exam update: the exams scheduled for 3 February and 24 February will take place at 14:00 in room AB2.
Projects: the list of the projects is available at following link.
No lesson on 14 November: no lesson on this day.
TBDM on Telegram: students can join to the Telegram group with the following link.
No lesson on 11 November: no lesson on this day.
No lesson on 31 October: no lesson on this day.
Webex recordings: recordings are available at the following link.
Course start: the course is planned to start the 30th of September - AB2 - Polo Lodovici A.

Teacher:

Prof. Massimo Callisto De Donato
Webex room: https://unicam.webex.com/meet/massimo.callisto
Email: massimo.callisto[at]unicam.it

ESSE3 Link

Techonologies for Big Data Management - AY 2024/25

Scheduling of Lectures:

Scheduling is available at the following link

Degrees:

MSc in Computer Science (LM-18)

knowledge about business data analysis and modern scenarios such as the Internet of Things.
Understanding of main differences between classical methods in data analysis and new modern scenarios.
Knowledge and expertise on Big Data methodologies and technologies, basic principles and concepts, techniques that enable data analysis and management.
Knowledge of the main Big Data technological frameworks and application in real case studies.
Highlight some Intelligent Data Analysis techniques.

Introduction to enterprise and data management.
Analysis of scenarios and contexts of data generation: from the inter-organizational model to the Internet of things.
Introduction to the classic data analysis techniques: ETL (Extract, Transform, Load), Business Intelligence, Reporting Tools.
Methodologies and technologies for the management and analysis of large amounts of data: introduction to the Big Data model, concepts, principles and technological frameworks.
Data Analytics methodologies and techniques: batch analysis models, streaming computation.
Data Analytics evolution towards intelligent data understanding models.

Course Slides

Slides link

Github link

Webex recordings link

Projects link

TBDM A.A.2023/24

Reference materials
- Slides course.
- Material provided by the teacher.
- Examples
  - …
- Other materials
  - …

Exam Dates A.Y. 2024/2025 (tentative)

02/02/2026
23/02/2026
23/06/2026
07/07/2026
28/07/2026
08/09/2026
29/09/2026
02/02/2027
16/02/2027

Exam rules:

Writing Examination
Project lab (max 3 member per team)

For the discussion students have to publish the final code to a public github repository (or similar) along with the necessary documnatation (pre-requisite, installation, configuration, usage, etc). Moreover a set of slides have to be presented in that day along with a practical demonstration of the running code. Slides should cover the following points: