Linux Journal Contents #23, March 1996
Linux Journal Issue #23/March 1996
Features
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Linux Distributions Compared
There are more Linux distributions than ever. Our editor takes you on a tour to help you decide which is best for you.
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Linux Distributions Features Comparison Chart
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Graphic Formats for Linux
by Gerald Graef
What ARE all those graphics storage formats and which should you use? Gerald Graef explains the methods and benefits.
News & Articles
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Geomview
by Tim Jones
Want a way to view and animate 3-D objects? Then Geomview may help you.
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Ext2tools for Linux
by Robert A. Dalrymple
How to use Windows and Linux on the same PC while losing neither your mind nor your files.
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Running Windows Applications NOW
by Ron Bardarson
Need to run MS Windows Applications right away? Then DESQview/X offers a solution.
Columns
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Kernel Korner
Dynamic Kernels - Modularized Device Drivers
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Letters to the Editor
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Stop the Presses
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Take Command
The cpio command
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Book Review
Linux Configuration and Installation
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Book Review
Building a Linux Internet Server
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New Products
Directories & References
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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Sponsored by DLT Solutions
| Dynamic DNS—an Object Lesson in Problem Solving | May 21, 2013 |
| Using Salt Stack and Vagrant for Drupal Development | May 20, 2013 |
| Making Linux and Android Get Along (It's Not as Hard as It Sounds) | May 16, 2013 |
| Drupal Is a Framework: Why Everyone Needs to Understand This | May 15, 2013 |
| Home, My Backup Data Center | May 13, 2013 |
| Non-Linux FOSS: Seashore | May 10, 2013 |
- Dynamic DNS—an Object Lesson in Problem Solving
- Making Linux and Android Get Along (It's Not as Hard as It Sounds)
- Using Salt Stack and Vagrant for Drupal Development
- New Products
- A Topic for Discussion - Open Source Feature-Richness?
- Drupal Is a Framework: Why Everyone Needs to Understand This
- Validate an E-Mail Address with PHP, the Right Way
- RSS Feeds
- Readers' Choice Awards
- Tech Tip: Really Simple HTTP Server with Python
- BASH script to log IPs on public web server
48 min 21 sec ago - DynDNS
4 hours 24 min ago - Reply to comment | Linux Journal
4 hours 56 min ago - All the articles you talked
7 hours 20 min ago - All the articles you talked
7 hours 23 min ago - All the articles you talked
7 hours 24 min ago - myip
11 hours 49 min ago - Keeping track of IP address
13 hours 40 min ago - Roll your own dynamic dns
18 hours 53 min ago - Please correct the URL for Salt Stack's web site
22 hours 5 min ago
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?
- How do I plan for expansion if I require more compute, memory, storage or networking?




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