Simplify File, Image, and Non Tabular Data Governance with Unity Catalog Volumes
What you’ll learn
Volumes allow you to govern and manage non-tabular data, providing a space for your team to upload and store various types of content, such as CSV files, images, and other files.
Databricks Volume offers a simplified UI and API that facilitates the uploading and exploration of any content within your volumes, making it exceptionally convenient to interact with external files.
- Facilitate analysts in uploading and working with ad hoc files like CSV, data, and images.
- Load libraries directly from your storage.
- Ingest files and images from external locations into Delta Lake tables.
- Ensure secure and trackable access to files across different teams.
- Share local folders across your cluster for AI and Deep Learning purposes.
- Implement access control mechanisms for files stored in your cloud storage (e.g., S3 bucket, ADLS, GCS).
Note - at Data + AI Summit in June 2025, Databricks released Lakeflow. Lakeflow unifies Data Engineering with Lakeflow Connect, Lakeflow Declarative Pipelines (previously known as DLT), and Lakeflow Jobs (previously known as Workflows).
