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--- techstaff:phd_orientation_2017 [2017/09/19 11:14] – [Course specific] kauffman
+++ techstaff:phd_orientation_2017 [2017/09/19 11:16] – [Hadoop] kauffman
@@ Line 58: / Line 58: @@
   * a place for general computing that will not compromise the performance of the lab machines
 The systems support many users and should be respected. Please follow the following guidelines:
-Resource intensive activities (utilize large amounts of RAM, excessive disk I/O, multiple CPUs, or long execution times) should be directed to your desktop or elsewhere (see [[techstaff:slurm|SLURM]] for internal options, or RCC (https://rcc.uchicago.edu/) for external options)
+Resource intensive activities (utilize large amounts of RAM, excessive disk I/O, multiple CPUs, or long execution times) should be directed to your desktop or elsewhere (see [[techstaff:slurm|SLURM]] for internal options, or [[https://rcc.uchicago.edu|RCC]] for external options).
 Programs requiring significant disk I/O should not use your home directory as a data repository.  The home directory is convenient but it is slow.  Please create a directory in the /local directory and use that directory for your data source.  /local is a local disk and is orders of magnitude faster than NFS.
@@ Line 74: / Line 74: @@
 =====Hadoop=====
-We are experimenting with an Apache Hadoop cluster for use by several big data courses.  Contact us directly for additional information. (Information is available at https://howto.cs.uchicago.edu/bigdataetc.)
+We are experimenting with an [[bigdataetc|Apache Hadoop cluster]]] for use by several big data courses.  Contact us directly for additional information.
 ======Labs======
 The department supports two computer labs.