This project is maintained by riccardotommasini
The course aims at giving an overview of Data Engineering foundational concepts. It is tailored for 1st and 2nd year Msc students and PhDs who would like to strengthen their fundamental understanding of Data Engineering, i.e., Data Modelling, Collection, and Wrangling.
The course was originally held in different courses at Politecnico di Milano (๐ฎ๐น) by Emanuele Della Valle and Marco Brambilla. The first issue as a unified journey into the data world dates back to 2020 at the University of Tartu (๐ช๐ช) by Riccardo Tommasini, and where it is still held by professor Ahmed Awad (course LTAT.02.007). At the same time, the course was adopted by INSA Lyon (๐ซ๐ท) as OT7 (2022) and PLD โDataโ
Students of this course will obtain two sets of skills: one that is deeply technical and necessarily technologically biased, one that is more abstract (soft) yet essential to build the professional figure that fits in a data team.
Creativity Bonus: the students will be encouraged to come up with their information needs about a domain of their choice.
After a general overview of the data lifecycle, the course deeps into an (opinionated) view of the modern [[Data Warehouse]]. To this extent, the will touch basic notions of Data Wrangling, in particular Cleansing and Transformation.
At the core of the course learning outcome there is the ability to design, build, and maintain a data pipelines.
Technological Choice (May 2023): Apache Airlfow
Regarding the technological stack of the course, modulo the choice of the lecturer, the following systems are encourages.
The interaction with the aforementioned systems is via python using Jupyter notebooks. The environment is powered by [[Docker]] and orchestrated using [[Docker Compose]].
The cours follows a challenge based learning approach. In particular, each system is approached independently with a uniform interface (python API). The students main task is to build a pipelines managed by Apache Airflow that integrates 3/5 of the presented systems. The course schedule does not include an explanation on how such integration should be done. Indeed, it is up for each group to figure out how to do it, if developing a custom operator or scheduling scripts or more. The students are then encouraged to discuss their approach and present the limitations.
๐๏ธ = Practice ๐ = Lecture
Database System Concepts 7th Edition Avi Silberschatz Henry F. Korth S. Sudarshan McGraw-Hill ISBN 9780078022159