TIETA17 Introduction to Big Data Processing, 5 ECTS

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Archived Curricula Guide 2017–2019

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▪ Curricula Guides » Faculty of Natural Sciences 2017–2019 » Intermediate Studies in Computer Science

TIETA17 Introduction to Big Data Processing 5 ECTS

Course homepage

Organised by

Degree Programme in Computer Sciences

Person in charge

University Lecturer Heikki Hyyrö

Preceding studies

Recommended:

TIETA19 Practical Programming in Python

Corresponding course units in the curriculum

School of Information Sciences
Curricula 2015 – 2017

TIETA17 Introduction to Big Data Processing 5 ECTS

Belongs to following study modules

Teaching

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.

Characteristics and applications of big data. Structured and unstructured data. Distributed file systems. Distributed and relational/non-relational databases. Distributed computing. MapReduce framework. Apache Hadoop.