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Learn how to leverage Databricks and Delta Sharing to facilitate secure, cross-platform data sharing for sleep science research in this 37-minute conference talk. Discover how Sleep Number implements a comprehensive data sharing architecture that enables anonymized dataset distribution across multiple Databricks workspaces, accounts, and cloud environments including AWS, Azure, and Google Cloud. Explore the technical implementation strategy that utilizes Databricks' Unity Catalog and Delta Sharing capabilities to accelerate research insights while maintaining strict compliance with data security and privacy standards. Examine the integration approach with project management and orchestration tools including Jira, Jenkins, and Terraform to streamline data platform operations. Gain insights from Sleep Number's practical experience in building scalable data sharing solutions that extend both within and outside organizational boundaries, presented by Alexandr Rivlin, Director of Data Platform at Sleep Number Labs, and Sajeev Mayandi, Senior Director of Architecture & Data Platform at Sleep Number.
