NDAK18001U Big Data Systems (BDS)
The goal of this course is to give the participants an
understanding of the technologies in computer systems for Big Data
analysis and management. It covers both traditional methods used in
data warehouses and parallel database systems, real-time
stream processing systems, transactional database systems, as well
as modern technologies of cloud computing and massively parallel
data analysis platforms.
The following main topics are contained in the course:
- Data warehouses;
- Parallel database systems;
- Massively parallel data analysis;
- Fast stream processing systems;
- Big graph processing;
- High-throughput transaction processing;
- Load balancing;
- Elastic scaling;
- Data partitioning.
- Techniques in data warehouses and parallel database systems.
- Techniques in data stream processing.
- Theories behind massively parallel data analysis systems.
- Design of and trade-offs in the modern systems introduced in the course.
- Develop programs and apply tools for big data management and analysis and deploy them on a cloud computing platform.
- Report work done with Big Data systems in a clear and precise language, and in a structured fashion.
- Design, implement, deploy and optimise Big Data systems.
- Analyse solutions in Big Data systems.
- Discuss research articles related to Big Data systems with colleagues.
- Plan and execute groups projects with Big Data systems and report the findings.
See Absalon when the course is set up.
Working knowledge of Java, including concurrency and communication mechanisms.
Notions of UNIX / shell scripting are helpful, but not required.
Academic qualifications equivalent to a BSc degree is recommended.
- Project work
PhD’s can register for MSc-course by following the same procedure as credit-students, see link above.
- 7,5 ECTS
- Type of assessment
- Continuous assessmentThe assessment is based on the following two elements:
1. Group project assignments with individual defence in the exam week;
2. Oral examination in the exam week.
The individual project assignments defence and oral exam should be carried out in one session and should last for 30 minutes in total (including grading, without preparation).
In the final grade, the weight of the different parts is as follows:
1. Group project with individual defence: 50%.
2. Oral examination: 50%
- All aids allowed
- Marking scale
- 7-point grading scale
- Censorship form
- No external censorship
Several internal examiners.
Same as the ordinary exam
The oral examination and project assignments defense will take place on the re-exam date.
Resubmission of project assignments no later than three weeks before the re-exam date. Project assignments not redone will be transferred with the original assessments.
Criteria for exam assesment
See Learning Outcome.