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Dat Engineering Lab
level of course unit
Master's courseLearning outcomes of course unit
The following skills are developed in the course:
- Students can implement storage concepts themselves in the context of a specific problem.
- Students are also able to design the implementation of these systems with regard to scalability and operational requirements.
- Students can implement storage concepts themselves in the context of a specific problem.
- Students are also able to design the implementation of these systems with regard to scalability and operational requirements.
prerequisites and co-requisites
1st semester: Students will have previous knowledge in the field of information technologies to the extent of 6 ECTS and therefore know the concept of the relational database and can read simple SQL queries. / 1st semester: Stu-dents will have previous knowledge in the field of information technologies to the extent of 6 ECTS and therefore know simple programming concepts (e.g. variables, branches, loops) as well as typical programming approaches (e.g. functional programming). / 2nd semester: SDDE.A1 module examination (Software Development 1
course contents
The following content is discussed in the course:
- Design and implementation of problem-centred NoSQL databases (e.g. key-value stores, document stores, column-oriented data stores, etc.)
- Design and implementation of storage solutions for large quantities of data (big data)
- Design and implementation of problem-centred NoSQL databases (e.g. key-value stores, document stores, column-oriented data stores, etc.)
- Design and implementation of storage solutions for large quantities of data (big data)
recommended or required reading
PRIMARY LITERATURE:
- Kleppmann, M. (2017): Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintain-able Systems (Ed. 1), O'Reilly Media, Farnham (ISBN: 978-1449373320)
SECONDARY LITERATURE:
- Celko, J. (2013): Joe Celko's Complete Guide to NoSQL: What Every SQL Professional Needs to Know about Non-Relational Databases (Ed. 1), Morgan Kaufmann, Waltham (ISBN: 978-0124071926)
- Kleppmann, M. (2017): Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintain-able Systems (Ed. 1), O'Reilly Media, Farnham (ISBN: 978-1449373320)
SECONDARY LITERATURE:
- Celko, J. (2013): Joe Celko's Complete Guide to NoSQL: What Every SQL Professional Needs to Know about Non-Relational Databases (Ed. 1), Morgan Kaufmann, Waltham (ISBN: 978-0124071926)
assessment methods and criteria
The following examination methods are used in the course:
- Project work
- term paper
- Project work
- term paper
language of instruction
Germannumber of ECTS credits allocated
5eLearning quota in percent
0course-hours-per-week (chw)
2planned learning activities and teaching methods
The following methods are used:
- Processing of exercises
- Lecture with discussion
- Processing of exercises
- Lecture with discussion
