The correct option is Table projection.

Table projection is used when you need the knowledge store to contain a normalized relational schema for enriched content. It maps extracted structured data into tables with rows and columns so the information can be represented as relational entities and queried or joined like a traditional database.

Table projection is ideal for analytics and downstream relational processing because it enforces a tabular schema and supports normalized relations rather than storing nested or blob data.

BigQuery is a separate data warehouse service and not a projection type inside the knowledge store. You may export to BigQuery but it does not define the projection used to create a normalized schema within the store.

Object projection creates object or entity documents with nested attributes and so it does not produce a normalized set of relational tables.

File projection retains files or blobs and is intended for storing documents rather than converting content into a normalized relational schema.

Shaper skill is a processing or transformation component used to reshape or enrich content and it does not itself define a storage projection for normalized relational tables.

Split projection divides documents into multiple parts for indexing or processing and it does not create a normalized relational table schema for enriched content.

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