FG DB Spring Symposium 2022

Challenges and Opportunities in the Data Cloud

The Spring Symposium 2022 of the Fachgruppe Database Systems (FG DB) was hosted by the Data Engineering Systems Group of Hasso Plattner Institute and Snowflake from March 24th to 25th 2022.

We thank all participants and our sponsor Snowflake for the great event!

If you have any questions feel free to contact us via: fgdb2022(at)hpi.de

Program Outline | Poster Session | Previous Editions

Program Outline

For every presentation, we provide a short CV of the speaker, the abstract of the talk, and the slides in PDF format on the individual websites of the talk linked below.

Day 1, Thu, March 24 2022

Time
12:00	Arrival and Lunch
13:00	Berni Schiefer (Snowflake) & Tilmann Rabl (HPI): Opening
13:15	Keynote 1 (Chair: Tilmann Rabl): Marcin Zukowski (Snowflake): Databases and the cloud: opportunities and challenges
14:00	Coffee
	Session 1: Data Analytics beyond SQL (Chair: Stefanie Scherzinger)
14:15	Torsten Grust (Universität Tübingen): Functional Programming on Top of SQL Engines
14:45	Stefan Hagedorn (TU Ilmenau): Making DataFrames get a move on: DBMS support for DataFrame operations
15:15	Matthias Böhm (TU Graz): DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines
15:45	Break
16:15	Keynote 2 (Chair: Fabian Hüske): Viktor Leis (Friedrich-Alexander University Erlangen-Nürnberg): Towards Cost-Optimal Query Processing in the Cloud
	Session 2: Stream Processing (Chair: Fabian Hüske)
17:00	Asterios Katsifodimos (TU Delft): Dataflow Engines for Executing Cloud Applications: a Maslow's Hammer?
17:30	Philipp Grulich (TU Berlin): NebulaStream: Towards the Next Generation Stream Processing Platform for the Cloud and the Edge
18:00	Poster Session
19:00	Dinner

Day 2, Fri, March 25 2022

Time
08:30	Light breakfast
09:00	Felix Naumann: FGDB Meeting
09:30	Maximilian Bandle (TU München): Sub-Operators in Query Execution with a focus on Joining and Filtering
10:00	Coffee
	Session 3: Data Processing on Modern Hardware (Chair: Sebastian Breß)
10:45	Tobias Ziegler (TU Darmstadt): A Fast and Cost-Efficient Storage Engine using DRAM, NVMe, and RDMA
11:15	Alberto Lerner (University of Fribourg): Use Cases in Database-SSD Co-Design
11:45	Pinar Tözün (ITU): Toward Hardware-Conscious Data Science
12:15	Lunch: Sandwiches (can be bagged)
	Closing

Poster Session

All posters that were presented and where a PDF is available:

Previous Editions

The previous Iteration was hosted by the Data Management and Machine Learning Labs of TU Darmstadt in cooperation with SAP (2020). For more information, click here.