Technologies for Big Data Management

Exam results 09/01/2024: result are available here.
Exam results 26/05/2023: result are available here.
Exam of 26th of May update: the exam will be held in AB3 room from 14:30.
Exam results 27/02/2023: result are available here.
Exam results 20/02/2023: result are available here.
Exam results 09/02/2023: result are available here.
Lecture update: next lecture will be the 16th of January.
No lecture 16/12/2022: next lecture will be the 19th of December.
No lecture 02/12/2022: next lecture will be the 5th of December.
Projects update: projects can be found at the following link (in progress)
Lectures update: next lecture will be the 11th of October. No lesson the 7th of November.
Lectures update: next lecture will be the 24th of October.
Lectures suspended: lectures are suspended until new communications.
No lecture 07/10/2022: next lecture will be the 10th of October.
TBDM on Telegram: students can join to the Telegram group with the following link.
Slides: course material can be found here.

Teacher:

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

ESSE3 Link

Techonologies for Big Data Management - AY 2022/23

Scheduling of Lectures:

Scheduling is available at the following link
42 h - lectures, exercise sessions
Schedule on: Monday 14:00-17:00 and Friday 14:00-17:00, AB1 at Polo Ludovici

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

Projects A.A. 2021/22 - link

Projects A.A. 2020/21 - link

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

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

09/02/2023
20/02/2023
27/02/2023 at 13:00 (new added)
26/05/2023
16/06/2023
21/07/2023
08/09/2023
25/09/2023
09/02/2024
20/02/2024

Exam rules:

Writing Examination on the topics of the course
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: