在IBM Metadata Asset Manager中能否选择特定表共享至仓库？

Absolutely! You can absolutely pick and choose specific tables from your 4 imported schemas to share with the repository in IBM Metadata Asset Manager (IMAM)—this is a common workflow for large datasets like yours, and it’s the perfect way to avoid server lag from sharing all 15k+ tables at once.

Here’s a step-by-step breakdown of how to do it:

• Navigate to your imported assets: Open IMAM and go to the project or collection where you imported your metadata. You’ll see your data source listed in the left navigation pane.
• Access your schemas: Expand the data source entry, then expand each of the 4 schemas you’ve imported. This will reveal all tables under each schema.
• Select your target tables:
  • Use the search bar at the top to look up specific table names (great if you know exactly which ones you need).
  • For manual selection, hold Ctrl (Windows) or Cmd (Mac) while clicking on individual tables to multi-select across schemas.
  • For bulk selection based on rules (e.g., tables with a specific prefix, or tagged for business use), use IMAM’s built-in filter tool. You can filter by table name, description, asset type, or custom attributes to narrow down the list quickly.
• Initiate the share process: Right-click on the selected tables, then choose the Share option (the exact wording might vary slightly by IMAM version). Follow the on-screen wizard to confirm you want to share these assets with your target repository.
• Verify and monitor: Once the share completes, check the repository to confirm the tables are present. For extra safety, consider sharing in small batches (e.g., 200-500 tables at a time) to keep server load manageable.

A few pro tips to make this smoother:

• Save your frequently used filters as saved filters—this lets you quickly pull up the same set of tables later without re-filtering.
• If you need to share tables across multiple schemas regularly, you can create a custom asset collection that groups these tables together, making future sharing even faster.

内容的提问来源于stack exchange，提问作者MominaAthar