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As the volume and complexity of data continue to grow rapidly, organizations of all sizes struggle to democratize data, analytics and AI while meeting today’s stringent regulatory and compliance standards. So what’s holding them back? The answer is often the lack of a comprehensive and executable data governance strategy that covers the full breadth of data use cases — from BI to ML. Data governance challenges are multifold. First, in a typical enterprise, data is siloed across data warehouses and data lakes, making it difficult to manage permissions, conduct audits, or discover and share data. 

But data isn’t limited to files or tables. You also have modern data assets like dashboards, machine learning models and notebooks, each with its own permission models, making it difficult to manage access permissions for all these assets consistently. The problem gets bigger when your data assets exist across multiple clouds with different access management solutions.

Unity Catalog provides a unified governance solution for data, analytics and AI on any cloud. With Unity Catalog, data teams benefit from an enterprise-wide data catalog with a single interface to manage access permissions and audit controls. Automated and real-time data lineage empowers data teams to track the usage of sensitive data, ensure data quality and gain end-to-end visibility into how data flows across their data estate. Unity Catalog also enables organizations to share data across clouds, regions and data platforms, without the hassle of managing multiple copies.

In this session, you will learn how to:

• Get started with Unity Catalog
• Register files and tables with Unity Catalog
• Upgrade your Hive metastore to Unity Catalog
• Set up access permissions and audit data access
• View data lineage for files, tables, dashboards and workflows
• Share data across clouds, regions or data platforms without any data replication

Agenda at a glance:

• Introduction to Unity Catalog
• Unity Catalog Demo
• Q&A and Wrap-Up