Hands-On Data Engineering

About

Modern analytics and artificial intelligence rely on robust data engineering foundations. From data collection to analytics-ready outputs, well-designed data platforms are essential for transforming raw data into actionable insights in real-world systems.

Course leader

Riccardo Tommasini Visiting Professor at Tartu University and Associate Professor at INSA Lyon (France) . His research interests cover data management and engineering with a focus on stream processing and graph analysis. At UT, he is part of the Data System group within the Data Science chair, and contributes to several courses in the area. He has more than 10 years experience in research and education, has published and presented in several top-tier data management conferences including: VLDB, SIGMOD, ICDE, ISWC, and EDBT.

Target group

Master's and PhD students

Course aim

By the end of the course, participants will have implemented both batch and streaming pipelines, understood the trade-offs between different architectures, and gained the ability to discuss how modern data platforms support analytics and machine-learning use cases.

Fee info