PRE-CONFERENCE ACTIVITIES

Tuesday, September 30, 8:30 am – 5:30 pm

Big Data Public Private Forum Project Final Event (please note that this event requires an extra pass!)

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Tuesday, September 30, 12:30 – 5:00 pm

Data Infrastructures Training from EUDAT (please note that this course requires an extra pass!)

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CONFERENCE SCHEDULE

 

Wednesday, October 1

8:30 am – 9:00 am

Welcome Coffee

9:00 am – 10:30 am

Opening Session

Chair: Sverre Jarp, ISC Big Data & CERN

The conference will start with a welcome address by the chairman, Sverre Jarp. This will be followed by an insightful keynote by Dirk Slama from Bosch. He is a renowned authority on the Internet-of-Things (IoT) which is believed to be the next big wave in computing. In the second keynote Alan Priestley and Stephan Gillich from Intel Intel will enlighten us about their increasing efforts in addressing the computational challenges of big data analytics.

10:30 am – 11:00 am

Coffee Break

11:00 am – 12:30 pm

A Deep Dive into the Hadoop Eco-System

Chair: Vincent Heuveline, University of Heidelberg

12:30 pm – 2:00 pm

Lunch

2:00 pm – 3:30 pm

Convincing & Successful Big Data Case Studies

Chair: Horst Gietl, ISC Group

3:30 pm – 4:00 pm

Coffee Break

4:00 pm – 5:30 pm

The Latest News from Big Data Vendors

Chair: Michael Feldman, Intersect360 Research

ISC Big Data’14 conference organizers and participants are grateful to the vendors generous support and contribution to the program. Therefore, this vendor panel is of mutual interest, both as a joint platform for the vendors to present short summaries of their actual Big Data offerings and customer case studies – and for interactively answering important questions from the audience.

 

 

7:00 pm – 10:30 pm

OUR FAMOUS EVENING EVENT

Neckar Boat Cruise

Sponsored by Intersect360 Research

An evening reception will be hosted on a cruise boat that we have chartered for the conference. Starting from the Marriott hotel, it will sail the Neckar River for over three hours, offering you scenic views from the riverbanks, including the Neckartal-Odenwald natural forest. A buffet-style dinner, and a music DJ will keep you content and entertained while on board. This is definitely a trip not to miss!

 

Thursday, October 2

8:30 am – 9:00 am

Welcome Coffee

9:00 am – 10:30 am

Pushing Big Data beyond the Hype

Chair: Bernd Mohr, ISC Group & JSC

Are there any real Big Data use cases and success stories beyond the usual media hype around innovative and exciting new technologies? This session will answer the question. In his keynote talk, Prof. Stefan Wrobel (IAIS/University of Bonn) will discuss the current state of Big Data in enterprises and society, look at a few success stories, and also address the most outstanding pressing issues. Then, Mark Torr (SAS) will describe more customer use cases, the technologies behind them, and how SAS is helping customers overcoming challenges. Finally, Dr. Stefan Sigg (SAP) elaborate on some Big Data related cases that evolved from concrete business which opened novel ways to commercialize the data that organisations already own.

10:30 am – 11:00 am

Coffee Break

11:00 am – 12:30 pm

Security & Privacy for Big Data

Chair: Wolfgang Gentzsch, ISC Cloud & UberCloud Community & Marketplace

12:30 pm – 2:00 pm

Lunch

2:00 pm – 3:30 pm

Multiple Facets of Data Analytics

Chair: Marc Hamilton, NVIDIA

In this session we review different facets of optimised Data Analytics. In the first talk Dr. Daniel Faser (Scigility) will discuss how to interpret results of complex analyses and demonstrate how visualisation can greatly improve data exploration.
In the second talk Prof. Domenico Talia (University of Calabria) will talk about a Data Mining Framework used to handle work-flows for controlling data analytics applications on clouds.
Thirdly, Prof. Kurt Stockinger (ZUAS) will cover a Big Data architecture for analysing petabyte-level amounts data for modelling contracts in the world of finance.

3:30 pm – 4:00 pm

Coffee Break

4:00 pm – 5:30 pm

Big Data in the EU

Chair: Sverre Jarp, ISC Big Data & CERN

 

Program may be subject to changes.

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