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habrok:data_management:storage_areas [2025/07/21 08:02] – Add syntax highlighting pedrohabrok:data_management:storage_areas [2025/10/24 10:32] (current) – [/scratch] pedro
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 There is also a limit on the number of files that can be stored. This to reduce the load on the file system metadata server, which keeps track of the data about files (time of access, change, size, location, etc.). Handling a huge number of files is a challenge for most shared file systems and accessing a huge amount of files will lead to performance bottlenecks. There is also a limit on the number of files that can be stored. This to reduce the load on the file system metadata server, which keeps track of the data about files (time of access, change, size, location, etc.). Handling a huge number of files is a challenge for most shared file systems and accessing a huge amount of files will lead to performance bottlenecks.
  
-The best way of handling data sets with many (> 10,000) files is to not store them on /scratch as is, but as (compressed) archive files. These files can then be extracted to the fast local storage on the compute nodes at the beginning of a job. You can find more details and examples in our dedicated [[habrok:advanced_job_management:many_file_jobs|page]] on this topic.+The best way of handling data sets with many (> 10,000) files is to not store them on ''/scratch'' as is, but as (compressed) archive files. These files can then be extracted to the fast local storage on the compute nodes at the beginning of a job. You can find more details and examples in our dedicated [[habrok:advanced_job_management:many_file_jobs|page]] on this topic.
  
 When the processing is performed on the fast local storage the job performance will be much better. When the processing is performed on the fast local storage the job performance will be much better.
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 ===== RDMS ===== ===== RDMS =====
  
-The Research Data Management system (RDMS) is also available on the Hábrók nodes. More details about this system can be found in the dedicated wiki: https://wiki.hpc.rug.nl/rdms/start+The **Research Data Management System** (RDMS) is also available on the Hábrók nodes. This is a **long term data storage** service provided by the university and data can be directly transferred to and from the RDMS to Hábrók using [[rdms:access:linux:icommands|]]. More details about this system can be found in the [[rdms:start|dedicated wiki]]. 
 + 
 +Additionally, the RDMS team provide user training sessions to help you quickly get started using the system. You can find more information about these sessions in the RDMS [[rdms:training|]] page.