Fix typo in json_type.md

Author: albertchae

docs/best-practices/json_type.md

@@ -35,7 +35,7 @@ The JSON type enables efficient columnar storage by flattening paths into subcol
 * **Avoid setting [`max_dynamic_paths`](/sql-reference/data-types/newjson#reaching-the-limit-of-dynamic-paths-inside-json) too high** - large values increase resource consumption and reduce efficiency. As a rule of thumb, keep it below 10,000.
 
 :::note Type hints 
-Type hits offer more than just a way to avoid unnecessary type inference - they eliminate storage and processing indirection entirely. JSON paths with type hints are always stored just like traditional columns, bypassing the need for [**discriminator columns**](https://clickhouse.com/blog/a-new-powerful-json-data-type-for-clickhouse#storage-extension-for-dynamically-changing-data) or dynamic resolution during query time. This means that with well-defined type hints, nested JSON fields achieve the same performance and efficiency as if they were modeled as top-level fields from the outset. As a result, for datasets that are mostly consistent but still benefit from the flexibility of JSON, type hints provide a convenient way to preserve performance without needing to restructure your schema or ingest pipeline.
+Type hints offer more than just a way to avoid unnecessary type inference - they eliminate storage and processing indirection entirely. JSON paths with type hints are always stored just like traditional columns, bypassing the need for [**discriminator columns**](https://clickhouse.com/blog/a-new-powerful-json-data-type-for-clickhouse#storage-extension-for-dynamically-changing-data) or dynamic resolution during query time. This means that with well-defined type hints, nested JSON fields achieve the same performance and efficiency as if they were modeled as top-level fields from the outset. As a result, for datasets that are mostly consistent but still benefit from the flexibility of JSON, type hints provide a convenient way to preserve performance without needing to restructure your schema or ingest pipeline.
 :::
 
 ## Advanced features {#advanced-features}