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Big Data Innovation

April 11, 2013 - April 12, 2013
San Fransico, CA
USA
http://analytics.theiegroup.com/bigdata-sanfrancisco

Big Data Innovation

Driving Business Success Through Big Data Science

The Big Data Innovation Summit is the largest gathering of Fortune 500 business executives leading Big Data initiatives.

It will help your business understand & utilize data-driven strategies and discover what disciplines will change because of the advent of data. With a vast amount of data now available, modern businesses are faced with the challenge of storage, management, analysis, visualization, security and disruptive tools & technologies.

Dissecting and making sense of this information to enhance company performance and achieve increased customer insight. With senior leadership now more aware of the need for investment in big data practices, data scientists play a key role in policy formation.

The Summit includes six tracks:

  • Big Data Innovation
  • Big Data in Healthcare
  • Big Data in Finance
  • Big Data in Government
  • Hadoop Innovation
  • Women in Big Data
  • Data Visualization Summit

 

Webcast
More Resources
How to Build an Optimal Hadoop Cluster to Store and Maintain Unlimited Amounts of Data Using Microservers

Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.

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Sponsored by AMD

White Paper
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Red Hat White Paper: Using an Open Source Framework to Catch the Bad Guy

Built-in forensics, incident response, and security with Red Hat Enterprise Linux 6

Every security policy provides guidance and requirements for ensuring adequate protection of information and data, as well as high-level technical and administrative security requirements for a system in a given environment. Traditionally, providing security for a system focuses on the confidentiality of the information on it. However, protecting the data integrity and system and data availability is just as important. For example, when processing United States intelligence information, there are three attributes that require protection: confidentiality, integrity, and availability.

Learn more about catching the bad guy in this free white paper.

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Sponsored by DLT Solutions