course-details-portlet

TDT4225

Very Large, Distributed Data Volumes

Choose study year
Credits 7.5
Level Second degree level
Course start Autumn 2025
Duration 1 semester
Language of instruction English
Location Trondheim
Examination arrangement Aggregate score

About

About the course

Course content

Introduction to large and distributed data volumes. Introduction to distributed techniques. How to design data-intensive applications? Reliability, scalability, and maintainability; how we need to think about them; and how we can achieve them. Data models and query languages. Indexing and storage techniques. Encoding of data. Replication, partitioning and transactions. Fault models, consistency and consensus.

Learning outcome

Learning outcome

Knowledge:

By completion of this course, the candidate should be able to explain

1. reliable, scalable, and maintainable distributed systems

2. data models and query languages

3. indexing- and data storage methods

4. formats for encoding of data

5. models of replication

6. models of partitioning

7. theory of transactions and concurrency

8. fault models

9. consistency and consensus

10. synchronization of clocks

11. distributed debugging

12. examples of distributed databases.

Skills:

By completion of this course, the candidate should be able to

1. develop applications with big data using standard database products.

2. evaluate existing systems and solutions for distributed storage and management of data

3. combine tools to build the properties you need

4. develop new systems for distributed storing and management of data

General competence:

By completion of this course, the student should be able to explain distributed systems.

Learning methods and activities

Lectures, exercises, projects and self-study.

There are compulsory exercises in the subject.

There are two projects involving programming with big data volumes and which are done in small groups.

Compulsory assignments

  • Exercises

Further on evaluation

The exam is given in English.

If there is a re-sit examination, the examination form may change from written to oral.

Course materials

Information given at start of term.

Credit reductions

Course code Reduction From
SIF8050 7.5 sp
This course has academic overlap with the course in the table above. If you take overlapping courses, you will receive a credit reduction in the course where you have the lowest grade. If the grades are the same, the reduction will be applied to the course completed most recently.

Subject areas

  • Informatics
  • Technological subjects

Contact information

Course coordinator

Department with academic responsibility

Department of Computer Science

Examination

Examination

Examination arrangement: Aggregate score
Grade: Letter grades

Ordinary examination - Autumn 2025

School exam
Weighting 50/100 Examination aids Code D Date 2025-12-17 Time 09:00 Duration 3 hours Exam system Inspera Assessment
Place and room for school exam

The specified room can be changed and the final location will be ready no later than 3 days before the exam. You can find your room location on Studentweb.

Sluppenvegen 14
Room SL310 blå sone
24 candidates
Room SL520
12 candidates
Room SL510
9 candidates
Room SL311 lyseblå sone
25 candidates
Room SL310 lilla sone
80 candidates
Assignment
Weighting 25/100 Exam system Inspera Assessment
Assignment
Weighting 25/100 Exam system Inspera Assessment

Re-sit examination - Summer 2026

School exam
Weighting 50/100 Examination aids Code D Duration 3 hours Exam system Inspera Assessment Place and room Not specified yet.