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Enrich your datasets with business context: Migrating from legacy Topics to semantic datasets in Amazon Quick | Amazon Web Services

If you’ve been managing Amazon Quick legacy Topics alongside your datasets, you know the challenge: two assets that must stay perfectly synchronized, each with its own permissions, lineage, and versioning. Column synonyms drift. Calculated fields diverge. A rename in the dataset breaks the Legacy Topic silently. You can now use Amazon Quick to embed that business context directly into the dataset itself through Dataset Enrichment in the new data prep experience. Column descriptions, synonyms, calculated fields, custom instructions, and business rules all live alongside the data. Dataset Enrichment bakes business context directly into the dataset. Everything (permissions, semantics, AI context) travels with the data and is automatically inherited by anything built on top of it. One asset, one source of truth, one place to govern.

In this post, we walk through what Dataset Enrichment is, how it differs from legacy Topics, and provide three migration scenarios with step-by-step guidance so...

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