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:

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
09:00Registration and Welcome Coffee
10:00Welcome and opening speech
10:15Plenary Session (I) – Recent Developments in the Big Data Competence Centers
10:15Competence Center for Scalable Data Services and Solutions – ScaDS Dresden/LeipzigProf. Wolfgang E. Nagel (TU Dresden, ZIH, ScaDS Dresden/Leipzig)
11:00Berlin Big Data Center – BBDCProf. Volker Markl (TU Berlin, DIMA, BBDC)
11:45Get Together + lunch break
13:00Plenary Session (II) – Big and Smart Data Projects
13:00Algorithm Engineering for Large Data SetsProf. Dr. Peter Sanders (KIT)
13:30SD4M – Smart Data for MobilityIngo Schwarzer (DB Systel)
14:00GeoMulitSens – Scalable Analysis of Big Remote Sensing DataDr. Mike Sips (GFZ)
14:30BigGis – Prescriptive geographical information systems (GIS) based on big data analytics infrastructuresProf. Dr. Thomas Setzer (KIT-FZI)
15:00Poster Session + Coffee Break
15:30Plenary Session (II) – continued
15:30Direct From Academia to Market: Time of Great Opportunities for Big Data ResearchersProf. Sang Kyun Cha (Seoul National University Big Data Institute)
16:00Parallel Sessions/Workshops (I)
Track A: Data Analytics
16:00Graph Analytics with GradoopMartin Junghans, André Petermann, (ScaDS Dresden/Leipzig)
16:30From .csv to Spark: Tool and Data Integration in KNIMETobias Kötter ( GmbH)
17:00Data Deduplication for Simulation Input Data in the Auto IndustryMatthias Büchse (Scale-GmbH)
17:30BigPro: Big Data Technology for Resilient Failure Management in Production SystemsSuad Sejdovic, Forschungszentrum Informatik (KIT-FZI)
Track B: Visualization/Machine Learning
16:00Towards Visual Analytics for Multi-Sensor Analysis of Remote Sensing ArchivesDaniel Eggert, German Research Center for GeoSciences (GFZ)
16:30Machine LearningAlexander Bauer (TU Berlin)
17:00Trends in Computer VisionDr. Dmitrij Schlesinger (ScaDS Dresden/Leipzig)
17:30BigGIS – Considering uncertainty and heterogeneity in geo-spatial Big DataJulian Bruns (FZI)
18:30Conference dinner
Day 2: Friday, 03.06.2016
09:00Plenary Session (III)
09:00Building a Library at the nexus of High Performance Computing and Big DataGeoffrey Charles Fox (Indiana University Bloomington)
10:00The DFG Priority Program „Scalable Data Management for Future Hardware“Prof. Kai-Uwe Sattler (Technische Universität Ilmenau)
10:30Poster session + coffee break
11:00Plenary Session (IV) – Big and Smart Data Projects
11:00iProdict – Intelligent Process Forecasting using Big Data AnalyticsAndreas Emrich (DFKI)
11:30iTESA – intelligent Traveller Early Situation AwarenessUwe Gabriel (travelbasys)
12:00SAKE – Big Data Architecture for the Semantic Analysis of Complex EventsSimon Bin (Leipzig University)
12:30Lunch break
13:30Parallel Sessions/Workshops (II)
Track A: Data Handling/Business Modells
13:30HUMIT – Interactive Data Integration in a Data Lake System for the Life SciencesDr. Christoph Quix (Fraunhofer FIT)
14:00Gesellschaftliche Aspekte von Big DataDr. Barbara Kolany-Raiser (ABIDA)
14:30Challenges for Data-Intensive Business Processes in the Age of Big DataAndreas Emrich (DFKI)
15:00Poster Session + Coffee Break
Track A (continued): Data Handling/Business Modells
15:30FEE – Frühzeitige Erkennung und Entscheidungsunterstützung kritischer Situationen im ProduktionsumfeldDr. Martin Atzmüller (Universität Kassel)
16:00Architecture of a Multi-Domain Processing and Storage EngineJohannes Luong (TU Dresden)
Track B: Big Data Processing
13:30Introduction in FlinkDr. Tilmann Rabl (BBDC)
14:30KNIME Cluster ExtensionPatrick Winter (Universität Konstanz)
15:00Poster Session + Coffee Break
15:30Big Data Analytics @HPCJan Frenzel (ScaDS Dresden/Leipzig)
16:00SAP HANA Vora: Handling Big Data at SAPLars Dannecker (SAP)
16:30Final Get-Together / Outlook

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