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November 28, 2012
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Hadoop Summit Europe Call for Papers Ends this Friday, November 30th

The Hadoop Summit Europe official call for papers ends this Friday, November 30th – so be sure to get your session submissions in this week!

Hadoop Summit Europe is March 20, 21 at the Beurs van Berlage in Amsterdam, Netherlands. You still have time to submit an abstract now!

The four content tracks are:

Applied Hadoop

Sessions in this track focus on applications, tools, algorithms and data science as well as areas of advanced research and emerging applications that use and extend the Hadoop platform. Sessions will cover examples of innovative data processing applications and algorithms for performing the most common statistical analysis as well as supporting the latest advances in artificial intelligence and machine learning.

Operating Hadoop

This track focuses on the deployment and operations of Hadoop clusters with an emphasis on tips, tricks, and best practices. Sessions will cover the full deployment lifecycle from installation, configuration, and initial production deployment to large-scale roll out. Reference architectures that maximize performance while minimizing costs will also be covered.

Hadoop Futures

This track takes a technical look at the key open source projects and research efforts driving innovation in and around the Hadoop platform. Attendees will hear from the technical leads, committers, and expert users who are actively driving the roadmaps, key features, and advanced technology research.

Integrating Hadoop

For many, Hadoop success will largely depend on the ability to integrate with existing data-driven and data management technologies. No matter if it is streaming, batch or real time interaction, these integration points are what exposes the value of Hadoop to the rest of the enterprise. This track This track focuses on Hadoop + enterprise (in particular databases, data warehouses, NoSQL, etc.). Sessions will explore these key integration points and will provide deployment and production examples of successful Hadoop integration within the enterprise today.


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