Technologies for Big Data Management

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Webex recordings: recordings are available at the following link.
Course start: the course is planned to start the 6th of October - AB2 - Polo Lodovici A.

There is not any news.

Teacher:

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

ESSE3 Link

Technologies for Big Data Management - AY 2025/26

Scheduling of Lectures:

Scheduling is available at the following link

Degrees:

MSc in Computer Science (LM-18)

Curricula:

Methodologies and Technologies for Digital Communication

knowledge about business data analysis.
Understanding of main differences between classical methods in data analysis and new modern scenarios.
Knowledge and expertise on Big Data, basic principles and concepts, techniques that enable data analysis and management at scale.
Knowledge of the main Big Data frameworks and their application in real case studies.

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.
Introduction to the Big Data model, concepts, principles and technological frameworks.
Data Analytics methodologies and techniques: batch analysis models, streaming computation.

Course Slides

Slides link

Github link

Webex recordings link

Projects (TBD)

TBDM A.A.2024/25

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
22/06/2026
06/07/2026
27/07/2026
07/09/2026
29/09/2026
01/02/2027
15/02/2027

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: