Ogni modulo equivale a 3 crediti ECTS. È possibile scegliere un totale di 10 moduli/30 ECTS nelle seguenti categorie:
- 12-15 crediti ECTS in moduli tecnico-scientifici (TSM)
I moduli TSM trasmettono competenze tecniche specifiche del profilo e si integrano ai moduli di approfondimento decentralizzati. - 9-12 crediti ECTS in basi teoriche ampliate (FTP)
I moduli FTP trattano principalmente basi teoriche come la matematica, la fisica, la teoria dell’informazione, la chimica ecc. I moduli ampliano la competenza scientifica dello studente e contribuiscono a creare un importante sinergia tra i concetti astratti e l’applicazione fondamentale per l’innovazione - 6-9 crediti ECTS in moduli di contesto (CM)
I moduli CM trasmettono competenze supplementari in settori quali gestione delle tecnologie, economia aziendale, comunicazione, gestione dei progetti, diritto dei brevetti, diritto contrattuale ecc.
La descrizione del modulo (scarica il pdf)riporta le informazioni linguistiche per ogni modulo, suddivise nelle seguenti categorie:
- Insegnamento
- Documentazione
- Esame
The heterogeneity of the requirements of modern applications is not
always well addressed by classical data management systems. The use of the
appropriate data management system can address properly requirements such as replication,
scalability, availability, data model flexibility, or query performance.
This course aims to provide a critical approach to polyglot data
management systems by knowing their strengths and weaknesses, to help the data
software architect to use the appropriate system in each context.
The course covers the following core topics:
- Databases architectures,
- Beyond the relational model,
- Database-oriented software architectures.
Requisiti
- Relational model, relational algebra and normalization
- SQL: data modeling, query language, transactions and access rights
- Query optimization, database indexes
- Object-oriented programming languages
Obiettivi di apprendimento
At the end of this module, students will be able to:
- understand and use parallel and distributed databases,
- properly use strict and relaxed consistency models and understand their underlying tradeoffs,
- understand and use databases alternatives beyond the relational model,
- choose an appropriate database system depending on the context and the kind of data available,
- understand the different implications of database-oriented software architectures,
- implement efficient database-oriented software architectures,
- apply the acquired knowledge in their own working environment,
- identify the current research directions of these domains.
Categoria modulo
Databases architectures (30%)
- Distributed architectures
- Replication and scalability
- Parallel architectures
- Consistency models
Beyond the relational model (30%)
- Document-oriented databases
- Graph systems
- Key value systems
- Spatio-temporal databases
Database-oriented software architectures (40%)
- Database first and code first
- Embedded databases
- Testing and evolution
- Query plans, indexation, integrity constraints and data validation
- Database administration
Metodologie di insegnamento e apprendimento
This
course involves theoretical presentations and practical exercises, laboratories
or group projects.
Bibliografia
Lecture slides, references to internet resources and
books.
Scarica il descrittivo completo del modulo
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