Linux Journal Contents #96, April 2002
Linux Journal Issue #96/April 2002
Features
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UNIX under the Desktop
by Doc Searls and Brent Simmons
Doc and Brent speculate on the possiblities presented by the UNIX that is the latest Mac OS.
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Build a Virtual CD-ROM Jukebox
by Jeremy Impson
Jeremy shows how to set up a Linux server providing access to ISO 9660 images.
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Connect to Microsoft SQL 2000 with the Perl Sybase Module
by Andrew Trice
Thought you couldn't use Perl to interface with an MS SQL server? Think again.
Indepth
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An Interview with Andreas Leimer
by Phil Hughes
We talk to Inalambrica.net's CTO about how they use Linux to bring internet connectivity to Costa Rica.
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Linux IPv6: Which One to Deploy?
by Ibrahim Haddad
Ibrahim gives the dope on the various open-source IPv6 projects.
Toolbox
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Take Command The m4 Macro Package
by Robert Adams
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Kernel Korner Hot Plug
by Greg Kroah-Hartman
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At the Forge Writing Zope Products
by Reuven M. Lerner
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Cooking with Linux Interoperate with Me
by Marcel Gagné
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Paranoid Penguin Hardening Sendmail
by Mick Bauer
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GFX Linux Graphics Drivers
by Robin Rowe
Columns
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Geek Law
On-Line Privacy
by Lawrence Rosen
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Focus on Software
Defining Interoperability
by David A. Bandel
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Focus on Embedded Systems
Interview with the Preemptible Kernel Patch Maintainer
by Rick Lehrbaum
Reviews
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The CodeWeavers CrossOver Plugin
by Dave Phillips
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SnapGear Lite: an Inexpensive Home Office/Small Office Firewall and VPN Client
by Alan Zeichick
Departments
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Letters
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upFRONT
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From the Editor LinuxWorld, New York
by Richard Vernon
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Best of Technical Support
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New Products
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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| Speed Up Your Web Site with Varnish | Jun 19, 2013 |
| Non-Linux FOSS: libnotify, OS X Style | Jun 18, 2013 |
| Containers—Not Virtual Machines—Are the Future Cloud | Jun 17, 2013 |
| Lock-Free Multi-Producer Multi-Consumer Queue on Ring Buffer | Jun 12, 2013 |
| Weechat, Irssi's Little Brother | Jun 11, 2013 |
| One Tail Just Isn't Enough | Jun 07, 2013 |
- Speed Up Your Web Site with Varnish
- Containers—Not Virtual Machines—Are the Future Cloud
- Linux Systems Administrator
- Lock-Free Multi-Producer Multi-Consumer Queue on Ring Buffer
- Senior Perl Developer
- Technical Support Rep
- Non-Linux FOSS: libnotify, OS X Style
- UX Designer
- Web & UI Developer (JavaScript & j Query)
- RSS Feeds
Featured Jobs
| Linux Systems Administrator | Houston and Austin, Texas | Host Gator |
| Senior Perl Developer | Austin, Texas | Host Gator |
| Technical Support Rep | Houston and Austin, Texas | Host Gator |
| UX Designer | Austin, Texas | Host Gator |
| Web & UI Developer (JavaScript & j Query) | Austin, Texas | Host Gator |
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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