ON-DEMAND WEBINAR
Setup End-to-End Data Governance and MLOps with Databricks’ Unity Catalog
SIMPLIFY GOVERNANCE. SCALE MACHINE LEARNING.
Learn how to implement end-to-end data governance and MLOps using Databricks’ Unity Catalog for secure, scalable, and compliant machine learning workflows. This session covers best practices for managing data lineage, access control, and model lifecycle automation to streamline AI development.
What will you learn?
- Accelerating AI from Concept to Reality: Strategies to reduce the time it takes to develop and test AI applications.
- Built in Cost Monitoring: Optimize spending with automated cost tracking and usage insights across data and ML workloads.
- Simplified Model Reviews: Streamline compliance and collaboration with built-in auditing, versioning, and approval workflows for ML models.
Watch On-Demand to understand how to Setup End-to-End Data Governance and MLOps with Databricks’ Unity Catalog