Cross-reference use cases with requireColumn in mind

Author: koperagen

docs/StardustDocs/topics/adjustSchema.md

@@ -14,3 +14,4 @@ To match your knowledge with expected real-time [`DataFrame`](DataFrame.md) cont
 * [`cast`](cast.md) — change type argument of [`DataFrame`](DataFrame.md) to the expected schema without changing data in [`DataFrame`](DataFrame.md).
 * [`convertTo`](convertTo.md) — convert [`DataFrame`](DataFrame.md) contents to match the expected schema.
 
+Alternatively, use [](require.md) to incrementally add type information to compile time schema.

docs/StardustDocs/topics/require.md

@@ -4,6 +4,7 @@
 Throws an exception if the specified column is missing or its type is not subtype of `C`.
 From the compiler plugin perspective, a new column will appear in the compile-time schema as a result of this operation.
 The aim here is to help incrementally migrate workflows to [extension properties API](extensionPropertiesApi.md).
+We recommend considering declaring a [DataSchema](dataSchema.md) and use [](cast.md) or [](convertTo) if you end up with more than a few `requireColumn` calls.
 
 Will work in compiler plugin starting from IntelliJ IDEA 2026.2 and Kotlin 2.4.0.