64-Bit JMP for Linux
Besides JMP, the only statistical software available on the Linux desktop today is an open-source product called R. It has considerable analytical depth and its open-source nature allows statisticians who also have computer programming talent to extend R. However, for the vast majority of people working in statistics today, JMP is generally acknowledged to be a better choice. JMP has an intuitive graphical user interface, a broad range of deep analytical capabilities and comprehensive professionally written documentation. JMP customers have the confidence that their investment is backed by SAS's award-winning, PhD-staffed quality assurance, technical support and professional training and consulting services. SAS boasts a 30-year record of continuous growth, so JMP customers know they can count on SAS and JMP to be around for the long haul.
“People keep wondering if Linux will ever be a serious contender in the desktop market”, says Potter. “It's been disappointing to Linux enthusiasts that this hasn't yet happened. Now, with the availability of affordable 64-bit desktop machines, we might start to see that change”, Potter says. He continues:
From the server perspective, the Linux operating system is generally recognized to be more reliable and secure at a lower cost of ownership than the alternatives.
Many research scientists and engineers would have liked to adopt Linux on their desktops too. They have refrained from doing so, however, because the applications they depended upon and the computing power they needed simply weren't there. Now those obstacles are gone.
As more of the applications that researchers depend upon, like JMP, become available for 64-bit Linux, its share of the desktop market can only grow.
Erin Vang, International Program Manager for JMP R&D at SAS, built JMP's localization and internationalization program. Previously, she was documentation and localization manager for Abacus Concepts (StatView) and technical writer and quality assurance manager for SYSTAT. She holds a B.Mus. in music performance, music history and math from St. Olaf College and an M.Mus. in horn performance from Northwestern University.
Practical Task Scheduling Deployment
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One of the best things about the UNIX environment (aside from being stable and efficient) is the vast array of software tools available to help you do your job. Traditionally, a UNIX tool does only one thing, but does that one thing very well. For example, grep is very easy to use and can search vast amounts of data quickly. The find tool can find a particular file or files based on all kinds of criteria. It's pretty easy to string these tools together to build even more powerful tools, such as a tool that finds all of the .log files in the /home directory and searches each one for a particular entry. This erector-set mentality allows UNIX system administrators to seem to always have the right tool for the job.
Cron traditionally has been considered another such a tool for job scheduling, but is it enough? This webinar considers that very question. The first part builds on a previous Geek Guide, Beyond Cron, and briefly describes how to know when it might be time to consider upgrading your job scheduling infrastructure. The second part presents an actual planning and implementation framework.
Join Linux Journal's Mike Diehl and Pat Cameron of Help Systems.
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With all the industry talk about the benefits of Linux on Power and all the performance advantages offered by its open architecture, you may be considering a move in that direction. If you are thinking about analytics, big data and cloud computing, you would be right to evaluate Power. The idea of using commodity x86 hardware and replacing it every three years is an outdated cost model. It doesn’t consider the total cost of ownership, and it doesn’t consider the advantage of real processing power, high-availability and multithreading like a demon.
This ebook takes a look at some of the practical applications of the Linux on Power platform and ways you might bring all the performance power of this open architecture to bear for your organization. There are no smoke and mirrors here—just hard, cold, empirical evidence provided by independent sources. I also consider some innovative ways Linux on Power will be used in the future.Get the Guide