The topic of the session is the data management platforms for analytics and system aspects of data management which are currently developed by/worked on by the Danish data management and analytics research community. Specifically, this covers concepts, domain-specific languages, algorithms and data structures, storage formats, query, algorithms and systems optimization, analytics techniques, open source implementations, key use cases, and other relevant topics for data management and analytics.

The primary target audience for the session are data management researchers from Denmark, at all levels from Master and PhD students, postdocs, assistant, associate, and full professors, as well as industrial researchers, working on the session topic. The secondary target audience are industry data scientists, data engineers, and software developers working with data management and analytics. To preserve an open and interactive environment with time for everyone to contribute and speak, a maximum of 20-25 participants is preferred, but not strictly necessary.

Program

The type of session is the “Workshops discussing work-in-progress.”
The program looks as follows:

Short presentations: We schedule 5-minute pitch presentations
of recent and ongoing work followed by 2-3 minutes Q&A.

1. Associate Professor Pinar Tözün
   Department of Computer Science, IT University of Copenhagen
   Data Processing for Deep Learning
   
   
2. Associate Professor Davide Mottin
   Department of Computer Science, Aarhus University
   Knowledge Graph Analysis marries Machine Learning
   
   
3. Associate Professor Zoi Kaoudi
   Department of Computer Science, IT University of Copenhagen
   Learning-based query optimization: what are we still missing?
   
   
4. Professor Torben Bach Pedersen
   Department of Computer Science, Aalborg University
   Towards a Versatile and Sustainable Platform for Prescriptive Analytics
   
   
5. Assistant Professor Eleni Tzirita Zacharatou
   Department of Computer Science, IT University of Copenhagen
   Unifying Spatial Data Analytics
   
   
6. Assistant Professor Søren Kejser Jensen/Associate Professor
   Christian Thomsen
   Department of Computer Science, Aalborg University
   ModelarDB: Analytics of High-Frequency Time Series across Edge, Cloud, and Client
   
   
7. Associate Professor Martin Hentschel
   Department of Computer Science, IT University of Copenhagen (formerly a Principal Software Engineer at Snowflake)
   Safeguarding Your Data: Security Considerations in Cloud Data Warehouses

Discussion and identifying potential collaborations

After the presentations there will be 40 minutes of informal interactive
discussions identifying opportunities for future collaborations on research, industrial applications, and/or funding proposals. Moreover, the audience will have the opportunities to ask individual questions to the speakers. We encourage the audience to ask specific questions. To initiate the discussion, we may ask general panel-like questions on the current and future trends of data management in the research landscape.

Organizers

• Assistant Professor Eleni Tzirita Zacharatou, Department of
  Computer Science, IT University of Copenhagen, elza@itu.dk
• Associate Professor Davide Mottin, Department of Computer
  Science, Aarhus University, davide@cs.au.dk
• Professor Torben Bach Pedersen, Department of Computer
  Science, Aalborg University, tbp@cs.aau.dk

Level

Intermediate