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Tech Tip
Using poppler-tools and psutils, you can extract a range of pages from a larger PDF file. For example, if you want to extract pages 11–14 of the PDF file afile.pdf, you could use the following command:
$ pdftops afile.pdf - | psselect -p11-14 | ps2pdf - file-p11-14.pdf
The pdftops command converts the PDF file to PostScript; the psselect command selects the relevant pages from the PostScript, and the ps2pdf command converts the selected PostScript into a new PDF file.
Tech Tip
SOCKS is built in to OpenSSH, so it's a trivial matter to set up a local SOCKS proxy with the -D flag. For example:
$ ssh -D 12345 myuser@remote_ssh_server
will open up the port 12345 on your local machine as a SOCKS proxy so all your HTTP traffic can be specified to go through the SSH tunnel and out remote_ssh_server on the other end. Your proxy server is now set up.
Next, set up your browser to use the proxy server. Most browsers include proxy support. For Firefox 3, go to Edit→Preferences→Advanced→Network→Settings, and specify that you want to use a Manual Proxy, localhost, port 12345, and SOCKS v5 (although OpenSSH supports both versions 4 and 5).
Now your browser is using a secure tunnel to your remote SSH server.
Tech Tip
Ever selected text from your terminal so you could paste it into an X application? Drop the mouse and use xclip instead. Using xclip, you simply can pipe the contents that you want to clip directly into xclip:
$ lspci | xclip
Then, go to your X application and paste the captured output into the application. xclip also lets you “paste” selected text into the terminal. Just use the -o switch to output the highlighted text from the active selection:
$ xclip -o
xclip can be found at sourceforge.net/projects/xclip.
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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Built-in forensics, incident response, and security with Red Hat Enterprise Linux 6
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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