Unlocking the Power of the Variant Data Type in Apache Iceberg™

Описание: #icebergSummit 2025 breakout session delivered by Aihua Xu, engineer at #Snowflake.

Session Description:
Interested in using semi-structured data in #ApacheIceberg but worried about the efficiency of working with your data? Thankfully, the newly introduced Variant data type is here to allow dynamic schemas to coexist with structured datasets, bridging the gap between unstructured and structured analytics.

In this session, we’ll introduce the Variant data type, delving into its internal representation, its ability to act as a container for multi-format data, and its seamless integration with other Iceberg-native types. More practically, attendees will see how this new feature enables seamless ingestion, storage, and querying of complex hierarchical formats like JSON, Avro, ORC, Parquet, and XML. From there, we’ll explore how to optimize your use of Variant data types by looking at shredding optimization techniques and metadata enhancements. With a survey of real-world use cases, we will highlight the transformative potential of the Variant data type in handling dynamic, evolving data in modern data lakes.

Join us to discover how the Variant data type empowers Iceberg to handle semi-structured data with unprecedented flexibility and efficiency, opening new doors for analytics on diverse data formats.