Effective governance is essential to democratizing data and AI in the age of LLMs and generative AI. Enterprises struggle with fragmented governance across databases, warehouses, lakes, and diverse data formats, which complicates discovery, access permissions, data usage, audits, and sharing. Additionally, users often cannot access the right data from their preferred tools, leading to vendor lock-in. Managing ML models and AI tools for regulatory compliance adds another layer of complexity.
Databricks Data Intelligence Platform features Unity Catalog, a unified and open governance solution for data and AI. Unity Catalog enables organizations to seamlessly govern structured and unstructured data, machine learning models, notebooks, dashboards, and files across any cloud or platform. With wide interoperability across the Delta and Iceberg ecosystems, users can access data effortlessly from any tool of their choice, ensuring flexibility and eliminating vendor lock-in.
In this live workshop, you will learn how to:
- Create a unified catalog for structured/unstructured data, ML models, and features, AI tools
- Utilize context-aware natural language search and discovery
- Implement access permissions and audit data access
- Access data and AI assets from any tool open APIs
- Use AI to monitor data and ML pipeline quality
- Share data effortlessly across clouds, regions, or platforms with open source Delta Sharing