Newest Trends in Big Data Analytics

Overview

As part of this seminar, you will create a presentation (and report) revolving around a research topic in German or English (your choice!). Therefore, you will meet regularly with an assigned supervisor and work towards the presentation and report.

This seminar is also available as pro-seminar. As pro-seminar, the focus will be on learning presentation techniques while in the seminar your focus must be on presenting scientific facts and leading a scientific discussion. There are also two additional mandatory sessions for pro-seminar attendees (optional for seminar attendees).

The presentation time is 45 minutes (incl. discussion). A short report accompanying the slides is expected (max 15 pages).

Key Information

Learning Outcomes

Topics

This is the list of topics that we will assign to students during the first meeting. You will have some room for developing the topic into the direction of your choice. Feel free to propose your own great topic.

to be completed

• GPU Computing with Python
• What’s new with Spark 3
• What’s new with Tensorflow
• Development in data lakes and data warehousing
• Trends in edge computing
• Key-value stores for HPDA
• Object storage systems
• HPDA Benchmarks
• The NVIDIA Metaverse
  • https://blogs.nvidia.com/blog/2021/08/10/what-is-the-metaverse/
• Using R for HPDA
• Security in Cloud and HPC
• Convergence of HPC and High-Performance Data Analytics
• Using Data Analytics in HPC Applications

Examination

The exam is conducted as part of the presentation (50% of the mark) and report (50%). The focus for pro-seminars lies on the effective presentation while the focus for seminars is the depth of the scientific topic (slightly different marking schemes).