ISC Big Data'13 Program

Wednesday, September 25

8:30 am – 9:00 am

Welcome Coffee

9:00 am – 10:45 am

Opening Session

Chair: Sverre Jarp, CERN & ISC Big Data'13 General Chair

The conference will start with a short welcome address by the chairman, Sverre Jarp. This will be followed by an enlightening keynote by Prof. Dr. Felix Wortmann from the University of St. Gallen. He is a renowned authority on big data, having given talks at multiple international conferences. In the second keynote Intel will enlighten us about their increasing efforts in addressing the computational challenges of big data.

 

10:45 am – 11:15 am

Coffee Break

11:15 am – 12:45 pm

Big Data Technology Description & Use Cases

Chair: Vincent Heuveline, University of Heidelberg

The session will review novel computational models that enable us to explore big data in depth. As we all probably know, advanced approaches are needed to perform the capture and transformation of the data, as well as data extraction and analysis. We will review several such avenues that are helping us to sharpen our big data approach.

 

12:45 pm – 2:15 pm

Lunch

2:15 pm – 3:45 pm

How to Increase the ROI through Big Data Analytics – Real-Life Studies

Chair: Horst Gietl, Prometeus

In the third session of the conference we will do a deep dive into the use of big data in commercial enterprises. We will have several speakers explaining how they are preparing to introduce or have already introduced the big data concept to accelerate the efficiency improvements in their enterprises. As we will hear, the potential of big data is tremendous since it enables the enterprises to drill all the way down to a thorough understanding of the individual customer based on the data that is recorded and analyzed.

 

3:45 pm – 4:15 pm

Coffee Break

4:15 pm – 5:45 pm

Learning from Big Data Applications in Science

Chair: Oleksiy Koshulko, Glushkov Institute of Cybernetics of NAS of Ukraine

Big Science has always been involved with "big data", long before the term became popular. In this session, we will hear how sciences, such as biology, genomics and physics manage to cope with ten (and hundreds) of petabytes in total volume. The speakers will help us understand how such volumes of data are being stored but also how the laboratories have established world-wide massive grid or cloud aggregations for analyzing the data. There will also be an outlook into the next data "deluge" by experiments, such as the upgraded LHC experiments at CERN or the forthcoming Square Kilometer Array.

 

   

5:45 pm – 6:15 pm

 

 

7:00 pm – 10:30 pm

Get-Together Party

We would like to welcome our ISC Big Data participants to the Kulturbrauerei brewery to experience true Heidelberg hospitality together with home-brewed beer and regional specialties.

 

Thursday, September 26

8:30 am – 9:00 am

Welcome Coffee

9:00 am – 10:30 am

HPC Meets Enterprise

Chair: Thomas Keil, SAS Institute

In the first session on the second day, Dr. Flavio Villanustre, who is Vice President of LexisNexis and an authority in the big data community will deliver our third keynote where he will discuss the paths to big data taken by scientific institutes on one hand and commercial enterprises on the other. Although there was initially a solid gap between the two worlds, he will argue in his keynote that the differences are now blurring and can therefore lead to increased synergies between them. He will be followed by Mark Torr, Director of Global Technology Practice at the SAS Institute, who will describe how businesses are starting to use new technological approaches to utilizing big data and executing big data analytics. His talk will focus on the technological underpinnings and share some real-world use cases.

 

10:30 am – 11:00 am

Coffee Break

11:00 am – 12:00 pm

Vendor Solutions for Big Data Challenges

Chair: Addison Snell, Intersect360 Research

ISC Big Data’13 conference organizers and participants are grateful for the conference sponsors’ financial support and commitment. Therefore, this vendor panel is of mutual interest, both as a joint platform for the vendors to present short summaries of their actual HPC big data offerings and customer case studies – and for interactively answering important questions from the audience.

12:00 pm – 1:30 pm

Lunch

1:30 pm – 3:30 pm

Efficient & Scalable Big Data Architectures for Search & Mining

Chair: Felix Wortmann, University of St. Gallen & Bosch Internet of Things Lab

In the first afternoon session, we will return to big data analytics since it plays such an important role in the overall landscape. In the first session we will hear about the architecture needed to perform fraud detection in real-time in a large corporation. Secondly, we will learn about a "New generation ICT" that countries, such as China, feel is needed for the "zettabytes" of the future. In the third talk we will learn how big data analytics can be greatly accelerated by having all data in memory, rather than on secondary storage. From a fourth speaker in this session we will learn more about BigData Top100 which is an initiative to rank sites on a world-wide basis (very much like the TOP500 for supercomputers).

 

3:30 pm – 4:00 pm

Coffee Break

4:00 pm – 5:30 pm

Panel Discussion: Current State & Future Opportunities for Big Data

Chair: Steve Conway, IDC

This panel session will be the last one of the conference and several speakers, including two keynote speakers, will debate several topics related to big data under the coordination of Steve Conway who will start by a short presentation on the big data market. We will return to questions, such as “Big data, hype or disruptive innovation?”, “Are we on the road to convergence between HPC and enterprises”, as well as other important questions that have arisen during the two-day conference which will come to a close after this session.

 

Panelists

 

Program may be subject to changes.

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