Freedom Technology Center To Open
The Freedom Technology Center, a new non-profit IT training and education facility in Mountain View, California, will open on Saturday, November 22nd, with a free one-day class on e-mail security, "Protecting E-mail Users from Viruses, Spam and Other Threats."
(Disclaimer: Linux Journal editor in chief Don Marti is a cofounder of the Freedom Technology Center.)
The second and third scheduled classes at the center cover the material for the Linux Professional Institute's LPI 101 and LPI 102 certification exams. The LPI 101 class is scheduled for December 1-5, and the LPI 102 class is scheduled for December 8-12.
The instructor for all three classes, Jim Dennis, has conducted Linux training for such firms as Motorola, SGI, Cadence, Wells Fargo, and DTT. He is the co-author of Linux System Administration (New Riders, 2000) and numerous magazine and Web articles. "If you spend one day covering the latest software and filtering approaches, you can really lock out the majority of spam and virus threats", Dennis said. "I cover what works and what doesn't."
The class is intended for full or part-time system administrators who are responsible for the function and security of e-mail for a small company or group.
Whether or not you use an open-source mail server internally, the filtering techniques covered can keep users safe from e-mail attacks, and it is possible to do so without upgrading or reconfiguring the existing mail server or mail clients.
In the LPI classes beginning in December, the topics to be covered include everything from installation and command basics to network administration, security and advanced troubleshooting.
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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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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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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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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