Instructors:

• Anna Monreale
  • KDD Laboratory, Università di Pisa
  • http://pages.di.unipi.it/amonreale/
  • anna [dot] monreale [at] unipi [dot] it
  • Office hours: Wednesday: 11:00-13:00 online using Teams (Appointment by email).
  • Telephone +39-050-2213119

• Roberto Pellungrini
  • KDD Laboratory, Università di Pisa
  • roberto [dot] pellungrini [at] di [dot] unipi [dot] it
  • Office hours: Thursday 14:00-16:00, Online using Teams (Appointment by email).
  • Telephone +39-050-2212728

• [10/11/2020] Instructions for the SSAS project in the Lecture of today: to avoid conflicts in deployment/process follow this steps once the solution is opened: (1) rename the project as <your account>_foodmart (2) from project properties select 'Deployment', then rename the database as <your account>_foodmart; (3) click on the button “show all files” just above “Solution explorer” right click on “view code” on the .database file that is visualized, and then change the ID from ruggieri_foodmart into <your account>_foodmart, and finally save the file; (4) change the credentials of connection to database on SQL Server. As an alternative solution you mayimport the project from the SSAS server and rename it as <your account>_foodmart (step 4 is still necessary).
• [13/09/2020]: The lecture will be online. You can join the class by using this link: https://teams.microsoft.com/l/team/19%3ad3bfc8ae4ed04ea99ccd7857a43e101e%40thread.tacv2/conversations?groupId=eb724cb5-3ac7-4b8e-9280-05e191cf8477&tenantId=c7456b31-a220-47f5-be52-473828670aa1

Classes

Lessons will be held onilne by Teams Platform

Link to Teams module: https://teams.microsoft.com/l/team/19%3ad3bfc8ae4ed04ea99ccd7857a43e101e%40thread.tacv2/conversations?groupId=eb724cb5-3ac7-4b8e-9280-05e191cf8477&tenantId=c7456b31-a220-47f5-be52-473828670aa1

• The slides used in the course will be inserted in the calendar after each class.
• Registration of each lecture will be available on Teams

• 2016/17 text, 2015/16 text and 2015/16 solution, 2014/15 text and 2014/2015 solution, 2013/14 text, 2012/13 text and 2012/13 solution.

• Anaconda with Python 3.7 (Please, avoid Python 3.8)
• SQL Server 2019 Developer Edition:SQL Server 2019 Management Studio.
• For Data Tools we will publish instruction soon.
• Microsoft Excel
• Power BI Desktop

• Connection to wi-fi
• F.A.Q.s about the labs

PROJECT

A project consists in a set of assignements corresponding to a BI process: data integration, construction of an OLAP cube, qurying of a OPLAP cube and reporting.

The project has to be performed by a team of 2 students (at most 3 after asking authorization for that to the teachers).

Project to be delivered within 31 December 2020

• First part of the project consists in the assignments described here: Project Description Part 1
• Second part of the project cosist in the assignments described here: Project Description Part 2
• Third part of the project cosist in the assignments described here: Project Description Part 3
• Remember to re-submit all three parts of the project with your third part, as specified in the document above.
• Dataset: project_data.zip
• Deadline: the fist part has to be delivered within November, 18th 2020.
• Deadline: the second part has to be delivered within December, 4th 2020.
• Deadline: the third part has to be delivered within December, 31st 2020.

Project to be delivered during the exam sessions Students who did not deliver the above project within 31 December 2020 need to ask by email a new project to the teachers. The project that will be assigned will require about 2 weeks of work and after the delivery it will be discussed during the oral exam. For those students, the oral exams will also cover some practical parts that could not be included in the project.

• LABORATORY OF DATA SCIENCE (2019/2020)
• LABORATORY OF DATA SCIENCE (2018/2019)
• BUSINESS INTELLIGENCE LAB (2017/2018)
• LBI 2016/2017