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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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 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

Hadoop is a comprehensive tool for handling very large amounts of data. People are nevertheless looking at extending its capabilities. In this session we will hear from three different speakers what they are working on and recommending be done. Dr. Wolfgang Hoschek (Cloudera) will describe his work to enhance the search capabilities of Hadoop. In the second talk Dr. Ted Willke (Intel) will explain where big data analytics processing is headed and thirdly Prof. Jens Albrecht (TH Nürnberg) will make clear how fast and efficient SQL access can efficiently be implemented on top of Hadoop.

12:30 pm – 2:00 pm

Lunch

2:00 pm – 3:35 pm

Convincing & Successful Big Data Case Studies

Chair: Horst Gietl, ISC Group

Big data is like a data Tsunami flooding organizations from science and industry, where the general question is always the same: What data is valuable? This session will focus on successful case studies. The first talk from Simon Thompson (British Telecom) will describe the development of infrastructure components and approaches to make use of data resources across a wide range of business units to extract meaning about a shared asset. Then Bob Murphy, (General Atomics) will illustrate use cases showing how metadata intensive techniques pioneered by “Big Science” physics are being adopted by the life sciences, government,... allowing them to access and manage vital data on any storage device, anywhere in the world. Dhabaleswar K. Panda (Ohio State University) will examine opportunities and challenges in optimizing performance of Hadoop with Remote DMA (RDMA) support. Specific designs and case studies to accelerate multiple components of Hadoop will be presented. Finally Brian Sparks (Mellanox) will address big data analytics and NoSQL databases clusters’ networking needs. To benefit from big data applications and to provide ways to build scalable topologies there is a need for scale-out cluster deployment, which can handle the data size and processing power needed.

3:35 pm – 4:00 pm

Coffee Break

4:00 pm – 5:20 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

According to the Cloud Security Alliance, security and privacy issues are magnified by velocity, volume, and variety of big data, such as large-scale cloud infrastructures, diversity of data sources and formats, streaming nature of data acquisition, and high volume inter-cloud migration. Therefore, traditional security mechanisms, which are tailored to securing small-scale static (as opposed to streaming) data, are inadequate. In this session, we highlight a few data-specific security and privacy challenges. Our expectation is that it will bring renewed focus on fortifying big data infrastructures.

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 – 5:00 pm

Big Data in the EU

Chair: Sverre Jarp, ISC Big Data & CERN

The EU is very active in Big Data covering both in the scientific and commercial fields. In this session we will first hear about Big Data in Science from one of the advisers to the EUDAT project that provides a broad ensemble of data services to a vast set of scientific disciplines. In the second talk we will hear the conclusions from two of the leaders of the BIG EU project where they developed a roadmap for Big Data in Europe targeting businesses.

 

Program may be subject to changes.

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