Data engineering

Code:	274976
ECTS:	5.0
Lecturers in charge:	doc. dr. sc. Marko Horvat
Lecturers:	Lectures: doc. dr. sc. Marko Horvat Exercises: Helena Marciuš , mag. inf. et math.
Take exam:	Studomat

Load:

1. komponenta

Lecture type Total

Lectures 15

Exercises 30

* Load is given in academic hour (1 academic hour = 45 minutes)

Description:

Literature:

Streaming systems: the what, where, when, and how of large-scale data processing, Akidau, T., Chernyak, S., & Lax, R., O'Reilly Media, Inc., 2018.
Designing data-intensive applications: The big ideas behind reliable, scalable, and maintainable systems, Kleppmann, M., O'Reilly Media, Inc., 2017.
Big Data, Cloud Computing, and Data Science Engineering (Vol. 844), Lee, R. (Ed.)., Berlin/Heidelberg, Germany: Springer, 2019.
CS 591 K1: Data Stream Processing and Analytics, https://vasia.github.io/dspa21/index.html, Boston University, 2021.
CSE2520: Big Data Processing, https://burcuku.github.io/cse2520-bigdata/, TU Delft, 2022.

Prerequisit for:

Enrollment :
Passed : Database systems

3. semester Course not offered

Izborni predmet 4, 5, 6 - Regular study - Financial and Business Mathematics

4. semester

Izborni predmet 4, 5, 6 - Regular study - Financial and Business Mathematics

Consultations schedule:

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