In today’s data-driven landscape, organizations in finance and healthcare face the dual challenges of managing sensitive data—such as revenue and patient information—and dealing with data fragmentation across different systems and formats. Protecting sensitive data from unauthorized access while ensuring its accessibility for operations is crucial, as is integrating fragmented data for effective governance. This session will explore how the OSS Unity Catalog addresses these issues by centralizing data management, enforcing fine-grained access controls, and ensuring robust governance. Attendees will learn how Unity Catalog’s multimodal interface and support for various data formats and engines enable secure, efficient data sharing across tables, files, functions, and AI models. Demo will include the integration of Apache Iceberg, Apache Spark, and x-table, all deployed on Kubernetes to showcase a scalable data management solution.