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Ultimate Linux Box
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Survey of readers was taken, results say... | 0 | 5 years 9 weeks ago by Carlie Fairchild |
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Linux Robot - Watch this space | 0 | 4 years 36 weeks ago by davidapnic |
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Linux Robot, more hardware ideas | 0 | 4 years 35 weeks ago by davidapnic |
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Need clarification abt kernel | 1 | 3 years 50 weeks ago by selim.2k |
3 years 50 weeks ago by Mitch Frazier |
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The Ultimate Linux Box for the Consumer Market | 5 | 4 years 10 weeks ago by phorneker |
3 years 23 weeks ago by Keith Eckstein (not verified) |
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ZFS Port to Linux ( all versions) | 0 | 2 years 42 weeks ago by darshin |
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Webcast
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.
Sponsored by AMD
White Paper
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- Lock-Free Multi-Producer Multi-Consumer Queue on Ring Buffer
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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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