41.30 Dell Precision 690 (Adam)
Adam is a desktop workhorse for data mining with 16GB of memory, a 500GB hard disk, removble IDE hard disk (not hot swappable) and a DVD\(\pm\)RW Dual Layer burner, deployed as a standalone. The machine came with Red Hat Enterprise Linux WS Version 4 installed. The machine was reinstalled with Debian GNU/Linux.
A default install using the Etch pre-release (20061024) Debian
GNU/Linux Installer, booting from a DVD-RW, was performed (3 November
2006). The DVD image was obtained using jigdo-file,
running the command (see Section ??)
MD5 checksums confirmed the integrity of the downloaded DVD image.
Working: Dual Core, Hyper-Threading 3.00GHz CPU, X11 at 1280x1024 resolution with nVidia (nv), USB, CD/DVD, printing.
Not tested: Sound, Ethernet.
No issues or problems with the install!
41.30.1 Adam Specifications
From the lspci and lshw commands and
|Machine:||Dell Precision 690|
|CPU:||Intel(R) Xeon(TM) 3.00GHz|
|Memory:||16GB (8x2GB DDR2 SDRAM)|
|Network:||Tigon 3 (tg3)|
|Disk:||ATA SCSI HDS725050KLA360 500GB|
|Removable:||Samsung SP0411N 37GB|
|Audio:||Intel 631xESB/632xESB (snd-hda-intel)|
|CD/DVD:||Pioneer DVD+/-RW, DVR-108|
41.30.2 Adam Install Log
220.127.116.11 2 Nov 2006
Standard install (see Section ??). Choose boot media with F12 on boot. Red Hat Enterprise Linux WS Version 4 is already installed. Replace with Debian GNU/Linux. Choose guided full repartition.
Install: lang=English, location=Australia, kb=American English, network none, hostname=adam, partition.
The partition automatically chosen was:\ | Spec | Details | |:–|:–| | / | 259M & sda1| | /usr | 4.6G & sda5| | /var | 2.8G & sda6| | /home | 406G & sda8| | /tmp | 373M & sda7|
Set root passwd, user account, apt install.
Reboot and GNOME (GDM) started no problem.
Continue installing from DVD to install sudo and wajig, and all the rest!
For the USB printer, simply load http://localhost:631 into a browser and configure.
Your donation will support ongoing availability and give you access to the PDF version of this book. Desktop Survival Guides include Data Science, GNU/Linux, and MLHub. Books available on Amazon include Data Mining with Rattle and Essentials of Data Science. Popular open source software includes rattle, wajig, and mlhub. Hosted by Togaware, a pioneer of free and open source software since 1984. Copyright © 1995-2022 Graham.Williams@togaware.com Creative Commons Attribution-ShareAlike 4.0