Seminar Big Data Middleware for Data Analytics
Middleware is a term from the field of Distributed Systems where applications on different machines interact. The term Middleware describes computer software that provides services to software applications beyond those available from the operating system. Since these new services are above the operating system i.e. between the operating system and the application, they are called middleware.
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The motivation of this course is to deepen our knowledge about Big Data Middleware - especially for Data Analytics, and also to get presentation experiences.
Topics
The seminar topics are divided into three areas:
- Stream processing (for example Apache Spark, Kafka)
- Key-Value Stores (for example Memcached, REDIS, Cassandra)
- Serverless Computing (for example Amazon AWS Lambda and S3)
Lecturer
Prof. Dr. Bettina Schnor
Modules
- Bachelor Computational Science: 6030
- 555601 - Modulteilprüfung
- 555602 - alternativ
- Master Computational Science: 10020
- 555201 - Modulteilprüfung
- 555202 - alternativ
- Master Data Science
During the summer term, there will be the seminar course where each student shall give a talk. Afterwards each student has to complete a project that is based on the topic of the seminar. The project topics are negotiable and will be adapted to the skills of the students.
The seminar contributes to the following modules:
- INF-DSAM7: Computer Engineering for Big Data (component: 2 SWS seminar)
- INF-DSAM6A: Advanced Applied Data Science A (component: 2 SWS seminar)
Room/Dates
The seminar takes place on mondays 2 p.m. to 4 p.m. online synchronous.