Technologies for Big Data Management

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.