2013 10th Annual HPC Linux for Wall Street Conference
Register today. Plan to attend the 2013 10th Annual HPC Linux for Wall Street Conference featuring Big Data, Cloud Computing, HPC systems, Data Centers, Networks, Switches, Optimization – all-in-one for 800 Wall Street IT attendees.
The 2012 conference featured the keynote session with Andy Bechtolsheim, Founder, Chief Development Officer and Chairman, Arista Networks, Santa Clara, CA and Larry Tabb, Founder and CEO, TABB Group, New York, NY.
The 2013 conference speakers will be announced shortly including Wall Street top IT executives and Gold Sponsor technology experts. This 9th Annual is the largest meeting of HPC in New York in 2012.
These speakers will cover high speed, low latency, reducing cost and total cost of ownership.
The explosion of data mandates new technology to harness the power of financial information.
Wall Street is increasing their HPC technology and data center budget by 7% in 2012.
Plan to attend the full conference program. Save $100. The conference is only $295 before the deadline. Conference includes general sessions, concurrent sessions, industry luncheon, exhibits, handouts and special Sponsor programs.
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.
Sponsored by AMD
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.
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Sponsored by DLT Solutions
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Enter to Win an Adafruit Pi Cobbler Breakout Kit for Raspberry Pi

It's Raspberry Pi month at Linux Journal. Each week in May, Adafruit will be giving away a Pi-related prize to a lucky, randomly drawn LJ reader. Winners will be announced weekly.
Fill out the fields below to enter to win this week's prize-- a Pi Cobbler Breakout Kit for Raspberry Pi.
Congratulations to our winners so far:
- 5-8-13, Pi Starter Pack: Jack Davis
- 5-15-13, Pi Model B 512MB RAM: Patrick Dunn
- 5-21-13, Prototyping Pi Plate Kit: Philip Kirby
- Next winner announced on 5-27-13!
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| Linux Systems Administrator | Houston and Austin, Texas | Host Gator |
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| Web & UI Developer (JavaScript & j Query) | Austin, Texas | Host Gator |
Free Webinar: Hadoop
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.
Some of key questions to be discussed are:
- What is the “typical” Hadoop cluster and what should be installed on the different machine types?
- Why should you consider the typical workload patterns when making your hardware decisions?
- Are all microservers created equal for Hadoop deployments?
- How do I plan for expansion if I require more compute, memory, storage or networking?



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