Home // First Big Data All-Hands-Meeting in Dresden

First Big Data All-Hands-Meeting in Dresden

03.06.2016 // SCADS

From 02-03.06.2016, the first Big Data All-Hands-Meeting took place in Dresden. This symposium was jointly organized by the Big Data competence centers:

ScaDS Dresden/Leipzig – Competence Center for Scalable Data Services and Solutions and
BBDC – Berlin Big Data Center

Both centers are supported by the Federal Ministry of Education and Research (BMBF).

One of the main goals of this symposium was to provide a platform for exchanging ideas and information about current research highlights in the field of Big Data. Because of that, the event was aimed at:

project participants from the funded competence centers,
various research and development projects, as well as
stakeholders from other Big Data and Smart Data initiatives.

Primarily, the event focused on the professional exchange between scientists and company representatives. Furthermore, the promotion of synergies through the opportunities to present own solutions from the projects as well as the exchange of different approaches were also highly important. This intensified networking between the projects and initiatives in order to strengthen the research field of Big Data throughout Germany in the future.

Program of the First Big Data All-Hands-Meeting

The 2-day program consisted of a variety of highly interesting keynotes from Science and Industry. Poster sessions and numerous networking opportunities rounded out the program.

Day 1: Thursday, 02.06.2016
09:00	Registration and Welcome Coffee
10:00	Welcome and opening speech
10:15	Plenary Session (I) – Recent Developments in the Big Data Competence Centers
10:15	Competence Center for Scalable Data Services and Solutions – ScaDS Dresden/Leipzig	Prof. Wolfgang E. Nagel (TU Dresden, ZIH, ScaDS Dresden/Leipzig)
11:00	Berlin Big Data Center – BBDC	Prof. Volker Markl (TU Berlin, DIMA, BBDC)
11:45	Get Together + lunch break
13:00	Plenary Session (II) – Big and Smart Data Projects
13:00	Algorithm Engineering for Large Data Sets	Prof. Dr. Peter Sanders (KIT)
13:30	SD4M – Smart Data for Mobility	Ingo Schwarzer (DB Systel)
14:00	GeoMulitSens – Scalable Analysis of Big Remote Sensing Data	Dr. Mike Sips (GFZ)
14:30	BigGis – Prescriptive geographical information systems (GIS) based on big data analytics infrastructures	Prof. Dr. Thomas Setzer (KIT-FZI)
15:00	Poster Session + Coffee Break
15:30	Plenary Session (II) – continued
15:30	Direct From Academia to Market: Time of Great Opportunities for Big Data Researchers	Prof. Sang Kyun Cha (Seoul National University Big Data Institute)
16:00	Parallel Sessions/Workshops (I)
Track A: Data Analytics
16:00	Graph Analytics with Gradoop	Martin Junghans, André Petermann, (ScaDS Dresden/Leipzig)
16:30	From .csv to Spark: Tool and Data Integration in KNIME	Tobias Kötter (KNIME.com GmbH)
17:00	Data Deduplication for Simulation Input Data in the Auto Industry	Matthias Büchse (Scale-GmbH)
17:30	BigPro: Big Data Technology for Resilient Failure Management in Production Systems	Suad Sejdovic, Forschungszentrum Informatik (KIT-FZI)
Track B: Visualization/Machine Learning
16:00	Towards Visual Analytics for Multi-Sensor Analysis of Remote Sensing Archives	Daniel Eggert, German Research Center for GeoSciences (GFZ)
16:30	Machine Learning	Alexander Bauer (TU Berlin)
17:00	Trends in Computer Vision	Dr. Dmitrij Schlesinger (ScaDS Dresden/Leipzig)
17:30	BigGIS – Considering uncertainty and heterogeneity in geo-spatial Big Data	Julian Bruns (FZI)
18:30	Conference dinner

Day 2: Friday, 03.06.2016
09:00	Plenary Session (III)
09:00	Building a Library at the nexus of High Performance Computing and Big Data	Geoffrey Charles Fox (Indiana University Bloomington)
10:00	The DFG Priority Program „Scalable Data Management for Future Hardware“	Prof. Kai-Uwe Sattler (Technische Universität Ilmenau)
10:30	Poster session + coffee break
11:00	Plenary Session (IV) – Big and Smart Data Projects
11:00	iProdict – Intelligent Process Forecasting using Big Data Analytics	Andreas Emrich (DFKI)
11:30	iTESA – intelligent Traveller Early Situation Awareness	Uwe Gabriel (travelbasys)
12:00	SAKE – Big Data Architecture for the Semantic Analysis of Complex Events	Simon Bin (Leipzig University)
12:30	Lunch break
13:30	Parallel Sessions/Workshops (II)
Track A: Data Handling/Business Modells
13:30	HUMIT – Interactive Data Integration in a Data Lake System for the Life Sciences	Dr. Christoph Quix (Fraunhofer FIT)
14:00	Gesellschaftliche Aspekte von Big Data	Dr. Barbara Kolany-Raiser (ABIDA)
14:30	Challenges for Data-Intensive Business Processes in the Age of Big Data	Andreas Emrich (DFKI)
15:00	Poster Session + Coffee Break
Track A (continued): Data Handling/Business Modells
15:30	FEE – Frühzeitige Erkennung und Entscheidungsunterstützung kritischer Situationen im Produktionsumfeld	Dr. Martin Atzmüller (Universität Kassel)
16:00	Architecture of a Multi-Domain Processing and Storage Engine	Johannes Luong (TU Dresden)
Track B: Big Data Processing
13:30	Introduction in Flink	Dr. Tilmann Rabl (BBDC)
14:30	KNIME Cluster Extension	Patrick Winter (Universität Konstanz)
15:00	Poster Session + Coffee Break
15:30	Big Data Analytics @HPC	Jan Frenzel (ScaDS Dresden/Leipzig)
16:00	SAP HANA Vora: Handling Big Data at SAP	Lars Dannecker (SAP)
16:30	Final Get-Together / Outlook