A delegation of researchers from TU Berlin’s Database Systems and Information Management (DIMA) Group and representatives from the Berlin Big Data Center recently traveled to the US and visited with numerous academic institutions, including New York University (Center for Data Science), Harvard University (Data Systems Lab), Johns Hopkins University (Institute for Data Intensive Engineering and Science), Northeastern University (Data Lab), MIT (Database Group), the University of Washington (Database Group), UC Berkeley (Database Group), and Stanford University (Infolab) as well as several enterprises, including Confluent, IBM’s Almaden Research Center, Intel, Microsoft, Oracle, Snowflake, and Workday.
Delegates: Prof. Dr. Volker Markl, Sebastian Breß, Jonas Traub, Andreas Kunft, Martin Kiefer, and Juan Soto.
Optimized On-Demand Data Streaming from Sensor Nodes, ACM Symposium on Cloud Computing 2017 (SoCC '17), Sep 25 - 27, 2017, Santa Clara, CA, USA.
Generating Custom Code for Efficient Query Execution on Heterogeneous Processors. In The VLDB Journal, 27(6), 797-822, 2018
Estimating Join Selectivities using Bandwidth-Optimized Kernel Density Models. Proceedings of the VLDB Endowment 10.13 (2017): 2085-2096.
[Slides, PDF, BibTeX]
Blockjoin: Efficient Matrix Partitioning through Joins. Proceedings of the VLDB Endowment 10.13 (2017): 2061-2072.
This is the schedule of our excursion. We'll soon add additional information such as photos and links.