Basics of Big DataLaajuus (5 cr)
Code: 4_EFS8020
Credits
5 op
Teaching language
- English
Learning objectives
To understand principles of mining and analyzing massive unstructured data sources
To understand basics concepts, methods and tools of Big Data solutions
Content
Concepts and tools in Big Data: eg. Hadoop, Hive, Pig. Analyzation and visualization of data.
Materials
Electronic materials will be announced at the start of the course
Enrollment
01.12.2023 - 15.01.2024
Timing
08.01.2024 - 30.04.2024
Credits
5 op
Mode of delivery
Contact teaching
Teaching languages
- English
Teachers
- Markku Kellomäki
Student groups
-
EF22SPBachelor Degree Programme in Information Technology IOT
Teaching methods
Basics of Python and Linux
Introduction to Big Data
Building Linux Virtual Machine
Hadoop installation and usage, HDFS
Mapreduce
Hbase
Scala / SBT introduction
Spark
Spark SQL and HDFS
Flipped learning is utilized in this course.
Student workload
28h lectures
14h exercises in classroom
93h independent work
Materials
Electronic materials will be announced at the start of the course
Enrollment
01.12.2022 - 31.03.2023
Timing
20.03.2023 - 05.05.2023
Credits
5 op
Mode of delivery
Contact teaching
Teaching languages
- English
Teachers
- Markku Kellomäki
Scheduling groups
- Exercise group A (Size: 20. Open UAS: 0.)
- Exercise group B (Size: 20. Open UAS: 0.)
Student groups
-
EF21SPBachelor Degree Programme in Information Technology IOT
Education groups
- Exercise group A
- Exercise group B
Teaching methods
Basics of Python and Linux
Introduction to Big Data
Building Linux Virtual Machine
Hadoop installation and usage, HDFS
Mapreduce
Hbase
Scala / SBT introduction
Spark
Spark SQL and HDFS
Flipped learning is utilized in this course.
Student workload
28h lectures
14h exercises in classroom
93h independent work
Materials
Electronic materials will be announced at the start of the course