The Guide to Data and AI Transformation at Scale
The Guide to Data and AI Transformation at Scale
14 PagesDatabricks helped organizations maximize business value from sensitive data through its integration with Azure Confidential Computing, enabling end-to-end data protection. By running workloads on Azure confidential virtual machines with AMD EPYC processors, Databricks safeguards data in use within hardware-protected trusted execution environments. This complements its existing encryption for data at rest and in transit, coupled with fine-grained access control and private connectivity via Azure Private Link. These features ensure data privacy, regulatory compliance, and secure collaboration across industries handling sensitive data.
