Big Data Engineering (5 cr)
Code: TT00CN70-3005
General information
- Enrollment
- 04.12.2024 - 13.01.2025
- Registration for the implementation has ended.
- Timing
- 13.01.2025 - 30.04.2025
- Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- Contact learning
- Unit
- Engineering and Business
- Campus
- Kupittaa Campus
- Teaching languages
- English
- Seats
- 0 - 40
Realization has 22 reservations. Total duration of reservations is 35 h 0 min.
| Time | Topic | Location |
|---|---|---|
|
Thu 16.01.2025 time 08:00 - 10:00 (2 h 0 min) |
Theory, Big Data Engineering TT00CN70-3005 |
ICT_C2046
Teoriatila muunto
|
|
Thu 23.01.2025 time 08:00 - 10:00 (2 h 0 min) |
Theory, Big Data Engineering TT00CN70-3005 |
ICT_C1032
Demotila
|
|
Thu 23.01.2025 time 10:00 - 11:00 (1 h 0 min) |
Exercise, Big Data Engineering TT00CN70-3005 |
ICT_B1038
IT-tila - telakka
|
|
Thu 30.01.2025 time 08:00 - 10:00 (2 h 0 min) |
Theory, Big Data Engineering TT00CN70-3005 |
ICT_C1032
Demotila
|
|
Thu 30.01.2025 time 10:00 - 11:00 (1 h 0 min) |
Exercise, Big Data Engineering TT00CN70-3005 |
ICT_B1038
IT-tila - telakka
|
|
Thu 06.02.2025 time 08:00 - 10:00 (2 h 0 min) |
Theory, Big Data Engineering TT00CN70-3005 |
ICT_C1032
Demotila
|
|
Thu 06.02.2025 time 10:00 - 11:00 (1 h 0 min) |
Exercise, Big Data Engineering TT00CN70-3005 |
ICT_B1038
IT-tila - telakka
|
|
Thu 13.02.2025 time 08:00 - 10:00 (2 h 0 min) |
Theory, Big Data Engineering TT00CN70-3005 |
ICT_C1032
Demotila
|
|
Thu 13.02.2025 time 10:00 - 11:00 (1 h 0 min) |
Exercise, Big Data Engineering TT00CN70-3005 |
ICT_B1038
IT-tila - telakka
|
|
Thu 27.02.2025 time 08:00 - 10:00 (2 h 0 min) |
Theory, Big Data Engineering TT00CN70-3005 |
ICT_C1032
Demotila
|
|
Thu 27.02.2025 time 10:00 - 11:00 (1 h 0 min) |
Exercise, Big Data Engineering TT00CN70-3005 |
ICT_B1038
IT-tila - telakka
|
|
Thu 06.03.2025 time 08:00 - 10:00 (2 h 0 min) |
Theory, Big Data Engineering TT00CN70-3005 |
ICT_C1032
Demotila
|
|
Thu 06.03.2025 time 10:00 - 11:00 (1 h 0 min) |
Exercise, Big Data Engineering TT00CN70-3005 |
ICT_B1038
IT-tila - telakka
|
|
Thu 13.03.2025 time 08:00 - 10:00 (2 h 0 min) |
Theory, Big Data Engineering TT00CN70-3005 |
ICT_C1032
Demotila
|
|
Thu 13.03.2025 time 10:00 - 11:00 (1 h 0 min) |
Exercise, Big Data Engineering TT00CN70-3005 |
ICT_B1038
IT-tila - telakka
|
|
Thu 20.03.2025 time 08:00 - 10:00 (2 h 0 min) |
Theory, Big Data Engineering TT00CN70-3005 |
ICT_C1032
Demotila
|
|
Thu 20.03.2025 time 10:00 - 11:00 (1 h 0 min) |
Exercise, Big Data Engineering TT00CN70-3005 |
ICT_B1038
IT-tila - telakka
|
|
Thu 27.03.2025 time 08:00 - 10:00 (2 h 0 min) |
Theory, Big Data Engineering TT00CN70-3005 |
ICT_C1032
Demotila
|
|
Thu 27.03.2025 time 10:00 - 11:00 (1 h 0 min) |
Exercise, Big Data Engineering TT00CN70-3005 |
ICT_B1038
IT-tila - telakka
|
|
Thu 03.04.2025 time 08:00 - 10:00 (2 h 0 min) |
Theory, Big Data Engineering TT00CN70-3005 |
ICT_C1032
Demotila
|
|
Thu 03.04.2025 time 10:00 - 11:00 (1 h 0 min) |
Exercise, Big Data Engineering TT00CN70-3005 |
ICT_B1038
IT-tila - telakka
|
|
Thu 10.04.2025 time 08:00 - 11:00 (3 h 0 min) |
Exam, Big Data Engineering TT00CN70-3005 |
ICT_C1042_Myy
MYY
|
Evaluation scale
H-5
Content scheduling
-The basic idea of big data engineering methods and pipelines
-different components and processes
-integration of said components (MQ systems)
-data engineering frameworks (Apache family)
-The goal of the course is to be able to build a data pipeline from start to finish and to understand both the process and the different components and their role.
Objective
After completing the course the student can:
- describe basic solutions for data architectures and big data
- select and use suitable data architecture
- apply ETL process and tools for handling of big data
Content
Architecture and Components of Big Data Frameworks
ETL process with Big Data for batch and streaming
Practical work with suitable tools and frameworks
Materials
Teacher provided lecture material
Supporting public online material
All needed material (or at least a link to them) will be available in itslearning.
Teaching methods
Contact learning, practical exercises, independent study
Exam schedules
There's an exam in April, re-exam in May
Pedagogic approaches and sustainable development
Given examples and exercises support each topic studied during the lectures. Additional material in the form of tutorials and reliable information sources is provided.
Student workload
Contact hours 44 h
Independent studying 91h, including:
- Studying the course material
- Completing exercises
- Exam
Evaluation methods and criteria
Homework exercises returned throughout the course
Small exam at the end of the course
11 sets of exercises, each worth 4 points, max 44 points.
Exam, max 22 points.
Required minimum to pass:
33 points in total.
22 points from the exercises.
11 points from the exam.
Failed (0)
< 33 points
Or < 22 points from the exercises
or < 11 points from the exam
Assessment criteria, satisfactory (1-2)
33-46 total points
Assessment criteria, good (3-4)
47-59 total points.
Assessment criteria, excellent (5)
60-66 total points.
Further information
Itslearning and contact classes are the main communication channels used on this course.
The student is required to have a computer capable of running a simple Ubuntu virtual machine and basic skills to work with Ubuntu command line.