Course - Very Large, Distributed Data Volumes - TDT4225
TDT4225 - Very Large, Distributed Data Volumes
About
Examination arrangement
Examination arrangement: Written exam and excersises
Grade: Letter grades
Evaluation | Weighting | Duration | Grade deviation | Examination aids |
---|---|---|---|---|
Exercise | 25/100 | |||
Exercise | 25/100 | |||
Written exam | 50/100 | 3 hours | D |
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
Knowledge: - reliable, scalable, and maintainable distributed systems - modern data models and query languages - modern indexing- and data storage methods - formats for encoding of data - models of replication - models of partitioning - theory of transactions - fault models - consistency and consensus Skills: - Develop applications with big data using standard database products. - Evaluate existing systems and solutions for distributed storage and management of data - How to combine tools to build the properties you need - Participate in the development of new systems for distributed storing and management of data General competence: - Distributed systems.
Learning methods and activities
Lectures, exercises and self-study. There are compulsory exercises in the subject. Some of the exercises are programming exercises with big data volumes and are done in small groups.
Compulsory assignments
- Mandatory excersises
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.
Specific conditions
Compulsory activities from previous semester may be approved by the department.
Recommended previous knowledge
TDT4120 Algorithms and Data Structures and TDT4145 Data Modelling and Database Systems, or equivalent.
Course materials
Information given at start of term.
Credit reductions
Course code | Reduction | From | To |
---|---|---|---|
SIF8050 | 7.5 |
Version: 1
Credits:
7.5 SP
Study level: Second degree level
Term no.: 1
Teaching semester: AUTUMN 2022
Language of instruction: English
Location: Trondheim
- Informatics
- Technological subjects
Department with academic responsibility
Department of Computer Science
Examination
Examination arrangement: Written exam and excersises
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
- Autumn ORD Written exam 50/100 D 2022-12-14 15:00 INSPERA
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Room Building Number of candidates SL310 lilla sone Sluppenvegen 14 13 SL310 turkis sone Sluppenvegen 14 59 SL430 Sluppenvegen 14 10 SL322 Sluppenvegen 14 1 SL228 Sluppenvegen 14 2 SL310 blå sone Sluppenvegen 14 48 - Autumn ORD Exercise 25/100
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Room Building Number of candidates - Autumn ORD Exercise 25/100
-
Room Building Number of candidates - Summer UTS Written 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.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"