Data Management and Visualization (2025-26)

Data Management and Visualization (2025-26)

General Information

Lecturers: Daniele Apiletti, Diego Monti

Teaching staff: Simone Monaco

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

Q&A teaching assistance on Piazza: https://piazza.com/polito.it/fall2025/01txasm


πŸ“° News

  • We are using Piazza for class discussion. We invite all students to join the course Piazza. Piazza is highly recommended for getting help quickly and efficiently from classmates and teachers. Rather than emailing questions to the teaching staff, students are invited to post their questions on Piazza.

πŸ“’ Teaching material

Course introduction (slides)

  • Introduction (slides)
  • Conceptual and logical design (slides)
  • Data analysis, OLAP, extended SQL (slides)
  • ETL process (slides)
  • Data Lakes and ELT (slides)
  • Materialized view (slides)
  • Data warehousing in Oracle (slides)
  • Data warehousing: physical design (slides)
  • Conceptual schema: textual formalism (slides)
  • 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 design patterns part 1 (slide)
  • MongoDB design patterns part 2 (slide)

πŸ—’οΈ Exercises

  • Exercise extended SQL, customers (text)
  • Exercise extended SQL, rentals (text)
  • Exercise DW design, hotels (text)
  • Exercise DW design, storehouses (text)
  • Exercise DW design, rentals (text)
  • Exercise DW design, parcels (text)
  • Exercise DW design, computer (text)
  • Exercise DW design, vehicle rental (text)
  • Exercise DW design, versioning services (text)
  • Exercise DW design, craft beer (text)
  • Exercise DW design, tickets (text)
  • Exercise DW design, food delivery (text)
  • MongoDB query exercises (slides)
  • MongoDB query exercises IMDB (slides,Β IMDB database)
  • MongoDB design pattern exercises 1 (slide)
  • MongoDB design pattern exercises 2 (slide)

πŸ’» Laboratory material

Students groupTimeRoom
TEAM 1 (FROM A TO F)Tuesday, 11:30 – 13:00LAIB3B
TEAM 1 (FROM G TO N)Tuesday, 13:00 – 14:30LAIB3B
TEAM 2 (FROM O TO Z)Tuesday, 14:30 – 16:00LAIB3B

For Labs 1 and 2, you must run Extended SQL on Oracle databases. The suggested tool for these Labs is Oracle Live SQL. To configure the environment, you can add tables using SQL scripts. A short guide on how to import them and query the DB is available (πŸ“„pdf)

Lab 1: Extended SQL
14/10/2025

Text (πŸ“„pdf)
Data warehouse tables (πŸ—ƒοΈCSV, πŸ—ƒοΈSQL)

Solution (πŸ“„star schema, πŸ“„queries)

Lab 2: Extended SQL

Text – Additional queries (πŸ“„pdf)

Solution (πŸ“„pdf)

Lab 3: Data analytics with Power BI

Text (πŸ“„pdf)


πŸ“„ Past Exams

Exams are available on moodle.polito.it.