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Archived teaching schedules 2017–2018
You are browsing archived teaching schedule. Current teaching schedules can be found here.
TIETA17 Introduction to Big Data Processing 5 ECTS
Period I Period II Period III Period IV
Language of instruction
Type or level of studies
Intermediate studies
Course unit descriptions in the curriculum
Degree Programme in Computer Sciences
Faculty of Natural Sciences

Learning outcomes

After completing the course the student is expected to
- know typical characteristics and common applications of big data
- know the basics of distributed file systems, databases and computing
- have gained practical data processing skills with the MapReduce framework / Apache Hadoop.

Enrolment for University Studies

Enrolment time has expired


Heikki Hyyrö, Teacher responsible

Homepage URL


23-Oct-2017 – 22-Dec-2017
Mon 23-Oct-2017 at 14-16, Linna K103
Mon 30-Oct-2017 - 4-Dec-2017 weekly at 14-16, Pinni B1100
27-Nov-2017 at 14 –16 , Pinni lr A1081
Fri 3-Nov-2017 - 10-Nov-2017 weekly at 14-16, Pinni A1081
Fri 17-Nov-2017 - 8-Dec-2017 weekly at 14.15-16, Pinni B3116