Students can present homeworks during the lectures. There will be three homework assignments, which will be announced on this web page.

Assignment 1 - SQL

Choose an application domain and, using a relational DBMS, build a database. This can be done in two ways:

• (recommended) use an interesting existing dataset, i.e.:
  1. get interesting data from the Web or other sources (e.g., use the Web to look for a whole database, or data that can be easily imported into a relational DBMS) and build a relational database using such data
  2. formulate a set of SQL queries (about 8-10) over the relational schema
  3. execute such queries over the database and analyze the results
  4. NOTICE: all datasets are potentially fine EXCEPT MOVIE DATASETS (too many projects used movie DBs in the previous years). If, however, there will be overlapping projects (that is, projects using the same dataset) we will contact the interested groups
• create the schema and the dataset from scratch, i.e.:
  1. define the relational schema (i.e., write SQL statements to create tables defining attributes, domains, and possibly integrity constaints);
  2. insert tuples into tables (through SQL statements)
  3. formulate a set of SQL queries (about 10) over the relational schema
  4. execute such queries over the database and analyze the results

The work must be done by groups of two students.

Students can use publicly available DBMSs like MySQL or PostgreSQL (see below), or other, commercial DBMSs.

The queries defined by the students should comprise all the aspects of SQL queries analyzed during the course lectures and exercises (joins, aggregations, nested queries, queries with negated subqueries). The complexity of the queries produced should be at least comparable to the specification appearing in this exercise on SQL.

Assignment 2 - SQL evaluation and optimization

Starting from the database developed in the first homework, every group has to identify at least 4 SQL queries that pose performance problems to the DBMS. The students have to show both the "slow" and the "fast" execution of the queries, where the fast version is obtained by:

• adding integrity constraints to one or more tables
• rewriting the SQL query (without changing its meaning)
• adding indices to one or more tables
• modifying the schema of the database
• adding views or new (materialized) tables derived from the existing database tables

GROUP REGISTRATION: Every group must send an email to both prof. Lembo and prof. Rosati no later than March 24, 2023 (strict deadline), with subject: "DMDS homework group" and containing last name and first name of every group member, the DBMS chosen, and a description of the domain of the dataset, and the link to such a dataset.

The first homework, together with the second one, will be presented online during the lectures of April 3 and April 5, 2023. The presentation of the work done wlll consist of a short session (12 minutes plus questions) in which the students will show the work done by directly interacting with the relational DBMS on their own laptop.

Useful links:

• Link to download the MySQL Server and Workbench
• There are many tutorials on how to install MySQL Server and Workbench, see e.g. this one.
• Link to download the PostgreSQL DBMS

Assignment 3 - NoSQL

Use a NoSQL tool (property-graph database, RDF triple store, document-based database, key-value database, column-family database) to manage and query a dataset. Ideally, the groups should use the same dataset used in the first and second homework. Examples of such systems include (but are not limited to) Neo4J, GraphDB, MongoDB, Redis, Cassandra (see the course material on aggregate databases, graph and RDF databases for more details).

The work must be done by the same student groups who presented the first and second homework assignments (i.e., current project groups cannot be modified).

The presentation of the work done wlll consist of a short session (15 minutes at most) in which the students will show the work done by directly interacting with the NoSQL system on their own laptop, highlighting the differences with respect to a standard (SQL) relational database system.

The presentations of the third homework will be held during the lectures of May 29 and May 31, 2023. The order of presentations will be the same as the one for homeworks 1 and 2: so, the groups who presented HW 1 and 2 on April 3 will present HW 3 on May 29, and the groups who presented HW 1 and 2 on April 5 will present HW 3 on May 31 (a list with a more detailed presentation schedule will be published on Google Classroom).