CS520 - Data Integration, Warehousing, and Provenance - 2022 Spring

Course Webpage for CS520 - 2022 Spring taught by Boris Glavic

Homework Assignments


There will be several practical labs and theoretical assignments during the course. These assignments are not graded and their main purpose is to practice the content covered in the course, gain some practical experience with data integration tasks, and prepare for the exams. Homework assignments and solutions will be posted on this page.

Homework 1: Background: Datalog, Constraints

Homework 2: Data cleaning, preparation, entity resolution

Homework 3: Schema matching and mapping, Virtual Data Integration, Data Exchange

Homework 4: Data Warehousing and Big Data Analytics

Homework 5: Data Provenance