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TDT4225 - Very Large, Distributed Data Volumes

About

Examination arrangement

Examination arrangement: Aggregate score
Grade: Letter grades

Evaluation Weighting Duration Grade deviation Examination aids
Assignment 25/100
School exam 50/100 3 hours D
Assignment 25/100

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- indexing- and data storage methods

3. formats for encoding of data

4. models of replication

5. models of partitioning

6. theory of transactions and concurrency

7. fault models

8. consistency and consensus

9. algorithms for consensus

10. synchronization of clocks

11. distributed debugging

12. examples of distributed databases: Amazon Dynamo and Google Spanner

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.

At re-take of course, all parts of the assessment must be re-done.

Course materials

Information given at start of term.

Credit reductions

Course code Reduction From To
SIF8050 7.5
More on the course

Facts

Version: 1
Credits:  7.5 SP
Study level: Second degree level

Coursework

Term no.: 1
Teaching semester:  AUTUMN 2024

Language of instruction: English

Location: Trondheim

Subject area(s)
  • Informatics
  • Technological subjects
Contact information
Course coordinator:

Department with academic responsibility
Department of Computer Science

Timetable

List view
Calendar view

Examination

Examination arrangement: Aggregate score

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Autumn ORD School exam 50/100 D 2024-12-05 15:00 INSPERA
Room Building Number of candidates
SL110 lilla sone Sluppenvegen 14 64
SL520 Sluppenvegen 14 11
SL311 brun sone Sluppenvegen 14 4
SL238 Sluppenvegen 14 2
SL110 turkis sone Sluppenvegen 14 39
SL410 orange sone Sluppenvegen 14 4
SL110 hvit sone Sluppenvegen 14 64
Autumn ORD Assignment 25/100

Submission
2024-10-11


14:00

Room Building Number of candidates
Autumn ORD Assignment 25/100

Submission
2024-11-01


14:00

Room Building Number of candidates
Summer UTS School exam 50/100 D INSPERA
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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