Corso di laurea magistrale in Data Science
Facoltà di Ingegneria dell'Informazione, Informatica e Statistica, Sapienza Università di Roma

Data Management for Data Science


Prof. Riccardo Rosati


Course contents and objectives

The main goal of the course is to present the basic concepts of data management systems. The first part of the course introduces the main aspects of relational database systems, including basic functionalities, file and index organizations, and query processing. The second part of the course aims at presenting the main non-relational approaches to data management, in particular, multidimensional data management, large-scale data management, and open data management.

Course program

  1. Introduction to relational databases
  2. The structure of a Data Base Management System
  3. Physical structures for data
  4. Multidimensional data management
  5. Large-scale data management
  6. Open data management


The lectures for a.y. 2016/2017 will be held in the second semester (from February 20, 2017 to May 29, 2017), with the following schedule:

Course material

  1. Introduction to relational databases
  2. SQL
  3. Exercise on SQL
  4. DBMS transaction management and recovery management
  5. DBMS file organization
  6. DBMS query evaluation
  7. Exercise on file organization and query evaluation
  8. Introduction to big data and data warehouses
  9. Data warehouses
  10. Exercises on OLAP
  11. Graph databases
  12. NoSQL aggregated databases
  13. The MongoDB system
Other useful references:

Homework assignments


The written exam is a set of exercises and questions about all the course topics (time to complete the exam: 2 hours).

Text of the written exam of June 7, 2016

Exam rules for students who have completed and presented (some of the) homeworks:

Consequently, the students who have completed and presented all the homework assignments during the course, do not have to take the written exam.

Exam dates:

As usual, before every exam date, students MUST reserve for the exam on Infostud. Reservations usually close 3 or 4 days before the exam date.


Link to the website of the 2015/2016 edition of this course