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hope more article about using Linux in small company | 3 | 5 years 24 weeks ago by ljmac |
3 years 6 weeks ago by bobbymcgill |
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An ad hoc Mobile office using open source Technology. | 0 | 5 years 10 weeks ago by maali |
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RelaxOS - Help Needed | 0 | 4 years 30 weeks ago by Thomas Chace |
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ZFS with Linux do best | 0 | 2 years 42 weeks ago by darshin |
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RapidDisk (rxdsk) Project - Introduction | 0 | 2 years 15 weeks ago by pkoutoupis |
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Digital Camera Information | 0 | 2 years 9 weeks ago by maqreta19 |
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How to create a password reset disk for Windows XP | 0 | 42 weeks 22 hours ago by Kardashiankie |
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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.
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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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