BerriAI / litellm
github.com·3d ago
Developer Tools
Databricks Blog·Aug 7·5 min read
Introducing FILE type: a native column type for multimodal data
TL;DR
Databricks has introduced FILE type, a new column type for storing unstructured data natively within tables, making it AI-ready and easily queryable. This innovation allows organizations to manage multimodal data alongside structured data, enhancing data accessibility and governance.
✦ Why It Matters
Start integrating unstructured data into your existing tables using FILE type to enhance data governance today.
Key Takeaways
- Implement FILE type to store unstructured data in your tables.
- Leverage AI capabilities directly on FILE columns for analysis.
- Ensure data governance with integrated access controls.
- Avoid orphaned files by synchronizing data lifecycle with rows.
How It Works
FILE type stores unstructured data as a lightweight reference in a column, allowing the data engine to pull actual bytes only when needed. This approach enhances query performance by preventing large binary data from being loaded into memory during operations.