Data engineering

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Data engineering

Code: 274975
ECTS: 5.0
Lecturers in charge: doc. dr. sc. Marko Horvat
Lecturers: Helena Marciuš , mag. inf. et math. - Exercises
Take exam: Studomat
Load:

1. komponenta

Lecture typeTotal
Lectures 15
Exercises 30
* Load is given in academic hour (1 academic hour = 45 minutes)
Description:
Literature:
  1. Streaming systems: the what, where, when, and how of large-scale data processing, Akidau, T., Chernyak, S., & Lax, R., O'Reilly Media, Inc., 2018.
  2. Designing data-intensive applications: The big ideas behind reliable, scalable, and maintainable systems, Kleppmann, M., O'Reilly Media, Inc., 2017.
  3. Big Data, Cloud Computing, and Data Science Engineering (Vol. 844), Lee, R. (Ed.)., Berlin/Heidelberg, Germany: Springer, 2019.
  4. CS 591 K1: Data Stream Processing and Analytics, https://vasia.github.io/dspa21/index.html, Boston University.
  5. CSE2520: Big Data Processing, https://burcuku.github.io/cse2520-bigdata/, TU Delft, 2022.
Prerequisit for:
Enrollment :
Passed : Database systems
3. semester Not active
Izborni predmet 3, 4, 5, 6 - Regular study - Computer Science and Mathematics

4. semester
Izborni predmet 3, 4, 5, 6 - Regular study - Computer Science and Mathematics
Consultations schedule:

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