Appendix : Administration : MashZone NextGen Repositories
MashZone NextGen Repositories
 
Tuning the MashZone NextGen Repository Connection Pool
Synchronize the MashZone NextGen Repository and MashZone NextGen Server Time Zones
The MashZone NextGen Repository is the database that the MashZone NextGen Server uses to store meta-data, attributes and configuration for MashZone NextGen including:
*Artifacts (mashable information sources, mashups, and apps)
*Macros
*Taxonomies such as categories, tags and providers
*MashZone NextGen attributes (global, user and custom for artifacts)
*Configuration properties for the MashZone NextGen Server
*Snapshots taken of mashable or mashup results.
If you are using the default User Repository, user and group data is also stored in the MashZone NextGen Repository.
Important:  
The MashZone NextGen repository is initially installed in a Derby database suitable only for trial purposes. For proof-of-concept, development or production uses, move the repositories to a robust and compatible solution.
Configuration and administration tasks for these two repositories include:
*Move the MashZone NextGen repository to a robust database solution
*Support International Character Sets and Locales
*Use the Default MashZone NextGen User Repository
*Change MashZone NextGen Repository Ports
*Tuning the MashZone NextGen Repository Connection Pool
*Synchronize the MashZone NextGen Repository and MashZone NextGen Server Time Zones
*Sharing the MashZone NextGen Repository in Clustered Environments
*Configure BigMemory Servers for MashZone NextGen Caching and In-Memory Stores
*Maintenance Suggestions
Maintenance Suggestions
Your existing standards for database backups, security and maintenance can be applied to the MashZone NextGen repositories. In addition, you should set up procedures to monitor or regularly manage growth for the MashZone NextGen Auditable Events table. This table tracks audit information for updates to the MashZone NextGen Repository.
You may also want to move snapshot data to a separate database to more easily manage growth and other operations for these datasets.
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