Data Management and Visualization (2021-22)

Data Management and Visualization (2021-22)

General Information

Lecturers: Daniele Apiletti, Silvia Chiusano, Diego Monti

Teaching staff: Eliana Pastor, Alessandro Fiori, Simone Monaco

SSD: ING-INF/05 – CFU: 8 – course details from the official student guide

Q&A teaching assistance on Piazza:


  • 27 September 2021: the 21-22 edition of the course begins! See the official timetable.
  • We are using Piazza for class discussion, we invite all students to join the course Piazza. Piazza is highly catered to getting help fast and efficiently from both classmates and teachers. Rather than emailing questions to the teaching staff, students are invited to post their questions on Piazza.


This section will provide the text and solution of the exams.

  • Feb 1st, 2021
    • Text + DW and NOSQL solutions (pdf)
    • Data visualization solutions (pdf)
  • Feb 15th, 2021
    • Text + DW and NOSQL solutions (pdf)
    • Data visualization solutions (pdf)
  • June 17th, 2021
    • Text + DW and NOSQL solutions (pdf)
    • Data visualization solution (pdf)
  • September 1st, 2021
    • Text + DW and NOSQL solutions (pdf)
    • Data visualization solutions (pdf)
  • January 28th, 2022
    • Text + DW and NoSQL solutions (pdf)
    • Data visualization solutions (pdf)
  • February 17th, 2022
    • Text + DW and NoSQL solutions (available soon)
    • Data visualization solutions (pdf)

Teaching material

Course introduction (slides)

Data Warehousing

  • Introduction (slides)
  • Conceptual and logical design (slides) – slides updated on Oct, 1st, 2021 (minor revision)
  • Data analysis, OLAP, extended SQL (slides)
  • ETL process (slides)
  • Materialized view (slides)
  • Data warehousing in Oracle (slides)
  • Data warehousing: physical design (slides)


Exercise extended SQL, customers (text, draft solution)

Exercise extended SQL, rentals (text, draft solution)

Exercise DW design, hotels (text, draft solution)

Exercise DW design, storehouses (text, draft solution)

Exercise DW design, rentals (text, draft solution)

Exercise DW design, parcels (text, draft solution)

Exercise DW design, computer (text, draft solution)

Additional exercises:


  • Non-relational databases for data management – introduction (slides)
  • Introduction to MongoDB, collections, create, delete, GUI (slides)
  • MongoDB, querying data, find operator, aggregation pipeline (slides)
  • MongoDB aggregation examples, indexes (slides)
  • Distributed Data Management, replication, and the CAP theorem (slides)
  • MongoDB replica set (slides, updated Nov 18)
  • Distributed transactions (slides)
  • Distributed data processing and Map Reduce (slides)
  • NoSQL design recipe (slides)
  • MongoDB query exercises (slides)
  • MongoDB query exercises IMDB (slides, IMDB database) – updated Dec 13, 2021 with solutions
  • MongoDB design patterns part 1 (slide)
  • MongoDB design patterns part 2 (slide)
  • MongoDB design pattern exercises 1 (slide)
  • MongoDB design pattern exercises 2 (slide)

Additional exercises:

Data Visualization


Docsity data lineage (slides)

Laboratory material

Lab practices start on Tuesday, October 19th, 2021.

TEAM A (FROM A TO K) on Tuesday from 1 pm to 2:30 pm
TEAM B (FROM L TO Z) on Tuesday from 2:30 pm to 4pm

Lab 1: Extended SQL

  • Text (pdf)
  • Data warehouse tables in csv format (zip)
  • SQL Developer is already available at LABINF. If you want to practise at home, you can follow these tutorials
  • Installing Oracle Database 18c Express Edition and SQL Developer
    • To download and install Oracle Express Edition: home page
    • To download and install SQL Developer: home page
    • Tutorial
  • In the case, you want to practice at home and you have problems in using Oracle Database and SQL Developer, you can consider Oracle Live SQL.
    • You can add tables using SQL scripts (zip)
    • A short guide on how to import SQL scripts and query the DB in Oracle Live SQL is available (pdf)

Draft solution (star schema, queries)

Lab 2: Extended SQL

  • Text – Additional queries (pdf)
  • Draft solution (pdf)

Lab 3: Data Studio

Lab 4: MongoDB Compass

Lab 5: MongoDB replica set

Lab 6: Visualization analysis

Lab 7: Redesign with Tableau

Lab 8: Visualization of a dataset

Lab 9: Intervals and dashboards

Lab 10: Geographic roles and maps

Lab 11: Dataviz exam simulation