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Big Data Tech Con

April 8, 2013 - April 10, 2013
Boston, MA
USA
http://www.bigdatatechcon.com/boston2013/

Enough talking about Big Data, Let's DO IT at Big Data TechCon!

Big Data TechCon features practical how-to classes and workshops for IT professionals, including database and business analysts, developers, software architects, data scientists, and project managers. Big Data TechCon is the how-to technical conference for professionals implementing Big Data.

Attend Big Data TechCon, the how-to, practical, and technical conference for collecting, managing and analyzing Big Data within your organization. Big Data is huge. It's growing. It's exciting. Big Data has tremendous potential to transform your organization (and it is transforming your customers, partners and competitors).

Come to Big Data TechCon to learn the best ways to:
• Collect, sort and store massive quantities of structured
and unstructured data.
• Process real-time data pouring into your organization
• Master Big Data tools and technologies like Hadoop, Map/Reduce and NoSQL databases and more!
• Learn how to integrate data collection technologies with analysis and business analysis tools to produce the kind of workable information and reports your organization needs!
• Understand HOW to leverage Big Data to help your organization today
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
More Resources
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