Unleashing Data Governance at iFood:Harnessing System Tables and Lineage for Dynamic Tag Propagation
Overview
Experience | In Person |
---|---|
Type | Breakout |
Track | Data and AI Governance |
Industry | Retail and CPG - Food |
Technologies | DLT, Unity Catalog |
Skill Level | Advanced |
Duration | 40 min |
With regulations like LGPD (Brazil's General Data Protection Law) and GDPR, managing sensitive data access is critical. This session demonstrates how to leverage Databricks Unity Catalog system tables and data lineage to dynamically propagate classification tags, empowering organizations to monitor governance and ensure compliance. The presentation covers practical steps, including system table usage, data normalization, ingestion with DLT pipelines and classification tag propagation to downstream tables. It also explores permission monitoring with alerts to proactively address governance risks. Designed for advanced audiences, this session offers actionable strategies to strengthen data governance, prevent breaches and avoid regulatory fines while building scalable frameworks for sensitive data management.
Session Speakers
Pedro Henrique De Carvalho Teixeira
/Head of Data Platform
iFood
Lucas Corsi
/Staff Data Engineer
iFood