Time and place of the practicals: Thursday 10:40 SU2,
Thursday 14:00 SW2
Lecturers: Irena Holubová, Stefanie
Scherzinger (University of Passau, e-mail)
Details:
Students are expected to have knowledge in the scope of the course NDBI025 - Database Systems.
Teaching will take place partially in Czech (Irena Holubová) and partially in English
(Stefanie Scherzinger); slides and other resources will
be available in English. For the parts of Irena Holubová, recordings of the
lectures and practicals in English are available below. The user name to access
is 'student'; the password was sent by email. If you did not receive it, let me know.
Lectures by prof. Scherzinger will take place in a "flipped" mode, i.e. at the
latest at the previous lecture, you will receive materials for studying (typically
a video or a text), and there will be recapitulation and practice at the respective
lecture.
To work on the project of Stefanie Scherzinger you need
to fill in, sign, and submit the
Declaration of Authenticity (can be sent by e-mail).
Consultations will take place based on an individual request.
To access the nosql server (at some practicals - see instructions below), use
the following parameters:
SSH: nosql.ms.mff.cuni.cz:42222
User name: mds_surname (e.g. Jan Novák has mds_novak)
Password: Same as for video recordings (change with passwd)
3.10. 2024 - Relational data model, relational databases. Historical
overview of alternative data models and database systems. Introduction to Big Data
(history, features, data models).
21.11. 2024 - Overview and classification of database systems and
technologies for efficient management and processing of Big Data. NoSQL key/value
databases.
9.1. 2025 - Other types of modern DBMSs. SQL language in the world
of Big Data. NewSQL databases. Array databases. Search engine DBMSs. Advanced
principles of Big Data management.
3.10. 2024 - cancelled (we have nothing to
practice)
Task for the next practicals: If you do not know Python, take the first lessons
of the free course at Udacity Introduction to Programming in Python (up to and without the
"Functions" chapter). You have to register on Udacity, but the course is free.