Open Source MID Community
OpenSourceMID.org is an open community to provide support and discussions for K7 MID or any other open source MID projects through this website.
K7 MID is a low-cost, high-performance handheld Mobile Internet Device featuring Texas Instruments' OMAP3530 ARM Cortex-A8 core processor with, wireless connectivity, touch screen control, GPS navigation systems and integrated power management with battery backup. It can support for both Android and WinCE operating systems and would be a complete solution that addresses all of the user’s multimedia and communication needs on a single platform.
Welcome you to join in! http://www.opensourcemid.org
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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- Linux Systems Administrator
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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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