In the event you need to restore an archived project, follow the below instructions:
Upload the archive to S3.
Before downloading the archive to the staging location on the MSA load machine, confirm you have enough free space on the Z: drive to hold the compressed archive.
Contact your CSM if you need to get your space increased or for any other environmental constraints that could affect the restore.
Download the un-extracted archive files from S3 the staging location on the MSA load machine (Z: drive).
This contains all the .tgz, .json, .db, and .txt files.
Submit a support ticket to support@revealdata.com requesting the restore. Providing this information upfront helps the Support and Infrastructure teams validate storage requirements and reduce delays.
Include the following information as you would like it to appear in the restored project:
MSA number where the project should be stored
The Project name.
The Company and Client name you want to restore the archive under
Type of restore:
Archive Restore
Disaster Recovery (see FAQ 11)
Archive location and name of the archived case files (this will be the path on the Z: drive’s load machine)
Compressed archive size
Whether a blank project shell has already been created
If yes, provide the project name where the data should be restored
If no, a blank project shell will be created for you
Components to restore:
Review
Processing
AI, or
All (Default)
Archive size
Any additional project-specific configuration or requirements that should be included with the request.
Requested timeline or any business-critical deadlines.
Restored projects will reappear in Reveal in the same state your project existed at the moment of archiving. The restoration process typically takes 3-5 business days, but larger or more complex project may take longer. You will be notified when the restoration is complete.
Perform Index Job and AI Sync
After your archive has been restored by support, you will need to:
Perform an index job so your data can be searched within Reveal and used with other features.
After the index job, an AI Sync will kick-off automatically so your data can be used with Reveal’s data visualizations and other features.
Further information on both processes can be found in our Index Data article and Analytics Sync Process article.