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In this blog, we explore how the introduction of SQL Asset Type enhances the metadata enrichment process within the IBM Knowledge Catalog , enhancing data governance and consumption. Introducing SQL Asset Type A significant enhancement to the metadata enrichment process is the introduction of SQL Asset Type.
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For more information about using Athena to query an AWS Glue table, refer to Running SQL queries using Amazon Athena. For example, you can run the following SQL query: SELECT * FROM "c360_workshop_db"."source_auto_address" Under Dataclassification tools, choose Record Matching. This will open the ML transforms page.
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Align your data strategy to a go-forward architecture, with considerations for existing technology investments, governance and autonomous management built in. Look to AI to help automate tasks such as data onboarding, dataclassification, organization and tagging.
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