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AWS welcomes you to the ISC Cloud & Big Data on 28th to 30th September 2015 in Frankfurt. Mark your calendar and do not miss the workshop and presentations of AWS experts.


 

Workshop - Amazon Web Services Tutorial – Securing HPC in the Cloud

Speakers:  Rolf Kersten, Brendan Bouffler, Dave Pellerin and
Tosh Tambe - Amazon Web Services

When: Monday, September 28, 2015 - 09:00am - 01:00pm

Where: Room Kilobyte

Abstract: In this talk, AWS will present a comprehensive overview of the best practices and practical steps customers can take to deploy HPC solutions in the Cloud. The talk will go into details such as account management, audit logging and encryption. Attendees will come away with a better understanding on how they can easily and quickly deploy an HPC cluster that leverages all of the discussed practices.

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Workshop - Amazon Web Services Tutorial - Large Scale Data Analytics with AWS

Speakers:  Ian Meyers, David Elliott and Denis Batalov - Amazon Web Services

When: Monday, September 28, 2015 - 02:00pm - 06:00pm

Where: Room Kilobyte

Abstract: In this talk, AWS will walk you through examples and best practices how to derive value from data you are collecting. With the cost of data generation is falling, how can you remove constraints storing, and analyzing the data, getting to actionable information and sharing the results?

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Participation - Vendor Showdown

Speakers: Rolf Kersten, Business Development Manager, Amazon Web Services

When: Tuesday, September 29, 2015 - 04:00pm - 06:00pm

Where: Room Platinum 1, Business Track

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Presentation - Large Scale Data Analytics with Amazon Web Services

Speakers: Antonio Alvarez Garcia, Business Development Manager, Amazon Web Services

When: Wednesday, September 30, 2015 - 11:00am - 11:30am

Where: Room Platinum 1, Business Track

Abstract: With the cost of data generation is falling, how can you remove constraints storing, and analyzing the data, getting to actionable information and sharing the results? In this presentation, we will share best practices how respond to Big Data challenges in your organization and adopt a Big Data workflow

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