Case Study: Apple achieves scalable ML metadata governance with DataHub

Apple scales ML metadata across 150,000+ employees with DataHub

Apple, a major technology company, faced growing complexity in managing machine learning metadata across its rapidly evolving AI landscape. Existing tools were too rigid to support their diverse data sources and custom asset types, creating a challenge for governance and scalability. To address this, they implemented the DataHub Core open source solution from vendor DataHub.

DataHub provided a flexible, extensible foundation for metadata management. The solution included custom platforms, entity types, and connectors built with DataHub's Python SDK to model Apple's unique ML assets. This established a unified system for metadata and lineage, which strengthened data governance and created scalable processes to keep pace with AI innovation.

Apple