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Learn how to implement secure data governance and compute management across enterprise-scale data workloads using Unity Catalog's Lakeguard feature on Databricks. Explore the challenges of managing data access and governance when working with multiple data sources including data lakes, databases, applications like Salesforce, and cloud services as teams scale. Discover how to confidently integrate external data and services into your workflows using Spark and Unity Catalog, with detailed coverage of various compute options including serverless computing, clusters, workflows, and SQL warehouses. Understand how Unity Catalog's Lakeguard enforces fine-grained governance policies even when multiple users concurrently share compute resources, ensuring both security and efficiency. Gain practical insights for selecting the optimal compute model for your team's specific requirements while maintaining robust security standards and operational efficiency across your data infrastructure.
