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Technologies for Big Data Management
News
- Course start: the course is planned to start the 30th of September - AB2 - Polo Lodovici A.
General Info
Teacher:
- Webex room: https://unicam.webex.com/meet/massimo.callisto
- Email: massimo.callisto[at]unicam.it
ESSE3 Link
Scheduling of Lectures:
- Scheduling is available at the following link
Degrees:
Course Objectives
- 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.
Syllabus
- 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.
Study material
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
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- Other materials
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