Kindle
The Amazon Kindle is an ebook reader which uses an E Ink electronic paper display that simulates reading on paper.
Beginning in September 2011, Linux Journal began offering a Kindle edition. All paid Linux Journal subscribers receive access to download their monthly issue in Kindle's .mobi format as a part of their regular subscription.
Kindle Edition FAQ
Q. I downloaded the .mobi edition of the magazine from Linux Journal's Digital Download page. Now how do I get it on to my Kindle?
A. To add a Linux Journal .mobi edition to your Kindle:
- Turn on your Kindle
- Connect the Kindle to your computer using the USB cable that came with your Kindle
- Drag and drop the .mobi file into the documents folder on your Kindle
- Safely disconnect your Kindle from your PC/Mac
- Your copy of Linux Journal should now appear in your Kindle library
Q. Can I read .mobi files on my desktop computer?
A. Yes. For Linux, Mac OS X, and Windows systems, we like to use the free and open source Calibre to read .mobi files. Amazon does specifically offer a free Kindle for PC app, however it is currently only available to Windows users. Either way, if you're reading Linux Journal on your desktop and not a Kindle, we recommend downloading our PDF or Enhanced Online Digital edition instead (paid subscribers have access to both).
Q. Do I need to be subscribed to the Enhanced Online Digital edition to get access to the .mobi file?
A. No. All paid subscribers receive access to all digital formats.
Q. Are back issues of Linux Journal available as .mobi files?
A. Kindle's .mobi file format of the magazine is only available for the September 2011 issue on forward.
Q. I'm a subscriber. Where do I download the .mobi files?
A. You can download all available .epub files on our Digital Download page (you'll need to login).
Q. Can I buy single issues of Linux Journal for my Kindle?
A. Yes. Linux Journal is available for single issue purchase on Amazon.com (at this time, yearly subscriptions are only offered directly through Linux Journal, however).
Q. Can I see a sample of the Kindle edition of the magazine before buying?
A. Yes. We invite you to sample our September 2011 issue free of charge.
Q. I have a .mobi-related question not answered here. Can you help me?
A. Yes! Please e-mail us your question and we'll do our best to get you an answer. If it's a commonly asked question, we'll also post it here.
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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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!
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?
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