This course aims are
- To distinguish different approaches to secondary storage, depending upon the needs, but focusing on storage with analytic purposes.
- To learn the wide diversity of solutions, and specifically to get introduced to some of the most widespread tools supporting Big Data implantations.
Agenda will cover from the information acquisition and preparation to the manipulation on some DBMS
Therefore, it is largely characterized by a practical focus
To achieve these goals, the student must acquire a set of generic capabilities, knowledge, skills and attitudes.
o Analysis and synthesis abilities
o Organize and plan abilities
o Ability to apply knowledge in practice
Cognitive (Knowledge): Storage paradigms, Information Lifecycle, back-end solutions for Big Data
Procedural/Instrumental (Know how)
- Information acquisition and preparation
- Data manipulation (by different languages) on diverse DBMS:
- Structured DBMS
- Document oriented DBMS
- Column oriented DBMS
Attitudinal (To be):
ability to design queries (creativity), concerns about the effectiveness and the efficiency, and ability to discuss and clarify the diverse solutions to each specific problem