During February 2026, Dtag enhanced the apache/spark repository by implementing SerdeName support for CatalogStorageFormat, focusing on Hive Metastore integration within Spark SQL. Using Scala and leveraging expertise in Big Data and Data Engineering, Dtag enabled Spark to expose SerDeInfo.name in its representation of Hive tables, bridging a compatibility gap with Hive-based pipelines. The technical approach involved updating the catalog layer to parse and write serdeName, ensuring end-to-end access through DESCRIBE EXTENDED queries. Comprehensive unit and integration tests validated the feature, which improved interoperability and facilitated more effective data discovery workflows for Spark SQL users working with Hive metadata.