Technologies for Big Data Management

Exam results 09/09/2024: result are available here.
Exam update, 09/09/2024:: exam is planned at 15:00 in AB2
Exam results 08/07/2024: result are available here.
Exam results 24/06/2024: result are available here.
Exam results 26/02/2024: result are available here.
Exam results 12/02/2024: result are available here.
Exam results 01/02/2024: result are available here.
Exam update, 1st of February - 14:00:: exam is planned in AB1.
Course completed: the next 8th of January 2024 there will be a meeting in which we are going to discuss the writing exam, to do a check on the ongoing projects, etc. The meeting is scheduled at 14:00, room LB1.
No lesson the 11th of December: no lesson on this day.
Projects: the list of the project is available at the following link.
No lesson the 30th of October: no lesson on this day.
No lesson the 23th of October: no lesson on this day.
TBDM on Telegram: students can join to the Telegram group with the following link.
Course delayed: the course is planned to start the 9th of October - LB1.

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 2023/24

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.2022/23

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

Exam Dates A.Y. 2023/2024 (tentative)

01/02/2024
12/02/2024
26/02/2024
24/06/2024
08/07/2024
29/07/2024
09/09/2024
02/12/2024
10/02/2025
24/02/2025

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: