Synchronized Data Tables and Views
After connecting to a data source, users can view and manage synchronized tables in the "Data Catalog" module.
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Only tables checked in the data source are displayed;
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Supports viewing each table's table name, business description, field names, and field descriptions;
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Displays the relationships between the table and other tables, including related tables, related fields, and relationship types (e.g., primary-foreign key);
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Supports one-click triggering of "Intelligent Data Knowledge Supplement," where the system automatically generates business aliases and descriptions for tables and fields based on AI and Schema;
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Supports the "Data Table Synchronization" feature to reload updated table structures.
Data Catalog Synchronization Notes
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Unsynchronized tables or views cannot be used
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Only tables and views synchronized in the data catalog can be referenced or used to build business domains in AI Central's Data module.
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If new data exists in the database but is not synchronized in the data catalog, the system will not recognize or use it.
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Database structure updates require re-synchronization
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When table structures or field information in the external database change (e.g., new fields added, field type adjustments, table renaming, etc.),
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Users need to perform the "Synchronize" operation in the data catalog to ensure the data structure remains consistent with the source system.
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Otherwise, data within AI Central will continue to operate based on the old structure, which may cause subsequent data mapping errors or missing fields.
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Common causes and troubleshooting for synchronization failures
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Data source connection invalid: This may be due to data source password changes, database service interruptions, or network issues. Please retest the connection in "Data Source Management."
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Insufficient table permissions: Some database accounts have read-only permissions or lack metadata access rights. Contact the database administrator to grant the necessary permissions.
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Field or table names contain special characters: Some databases have field or table names with spaces, symbols, or reserved words. It is recommended to rename them in the database or exclude them before synchronization.
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Schema mismatch: When database structures change frequently or multiple schemas are used, it is recommended to confirm the schema configuration is correct before synchronization.
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TIP
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It is recommended that Data administrators regularly check the synchronization status of the data catalog, especially in scenarios with frequent database updates or significant changes in business table structures.
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By keeping the data catalog up to date, you can ensure that the AI Agent, BI reports, and intelligent analysis modules continuously receive accurate and available data support.