Day 1: International Symposium on Trends in Big Data
(Use cases, technological trends, algorithms, e-infrastructure)
Venue: HTW Berlin, Campus Wilhelminenhof
The aim of the symposium is to present upcoming trends in Big Data as expected from science and industry.
6/29/17
09:30
Registration and Coffee
HTW Berlin, Campus WH, H 001
10:00
15'
Welcome and Opening (purpose of the symposium) Slides
University Board,
HTW Berlin University of Applied Sciences
Session
10:15
HTW, Campus WH, H001
11:45
30'
Coffee Break
12:35
20'
The Leibniz-Rechenzentrum in the Landscape of High Performance ComputingSlides
Dieter
Kranzlmüller,
LRZ München
12:55
20'
High Performance Computing, Visual Analytics Slides
Philipp
Slusallek,
DFKI Saarbrücken/Kaiserslautern
13:15
60'
Lunch
Session 14:15
HTW, Campus WH, H001
14:15
20'
Applied AI & ML: Research at Fraunhofer Gesellschaft Slides
Randolf
Hanke,
IIS Fürth
Alexander
Martin,
IIS Nürnberg
14:35
20'
Data Science at DLR Slides
Richard Bamler,
DLR Oberpfaffenhofen
14:55
20'
Big Data Handling Methods – From Research to Industry Slides
Wolfgang
Rhode,
Technische Universität Dortmund
Katharina
Morik,
Technische Universität Dortmund
15:15
30'
Big Data at SAP Slides
Andreas
Engel,
SAP Walldorf
15:45
30'
Coffee Break
Session 16:15
HTW, Campus WH, H001
16:15
45'
Big Data in ground based astronomy: past, present and future Slides
Matthias
Steinmetz,
AIP Potsdam
17:30
30'
Hyperscale Network Architectures for Big Data Slides
Thomas
Jost,
Coriant GmbH, München
18:00
30'
Concluding remarks (what we learn from the use-cases) Slides
19:00
Evening Event