Enabling Sleep Science Research With Databricks and Delta Sharing
Overview
Experience | In Person |
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Type | Breakout |
Track | Data Sharing and Collaboration |
Industry | Health and Life Sciences, Manufacturing, Retail and CPG - Food |
Technologies | Delta Sharing, Unity Catalog |
Skill Level | Intermediate |
Duration | 40 min |
Leveraging Databricks as a platform, we facilitate the sharing of anonymized datasets across various Databricks workspaces and accounts, spanning multiple cloud environments such as AWS, Azure, and GCP. This capability, powered by Delta Sharing, extends both within and outside Sleep Number, enabling accelerated insights while ensuring compliance with data security and privacy standards.
In this session, we will showcase our architecture and implementation strategy for data sharing, highlighting the use of Databricks’ Unity Catalog and Delta Sharing, along with integration with platforms like Jira, Jenkins, and Terraform to streamline project management and system orchestration.
Session Speakers
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Alexandr Rivlin
/Director, Data Platform
Sleep Number Labs
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Sajeev Mayandi
/Sr Director Architecture & Data Platform
Sleep Number