SAN FRANCISCO — In the modern enterprise data landscape, engineering teams face a perpetual balancing act: the mandate to protect sensitive customer information versus the operational necessity of leveraging data for business intelligence. Nowhere is this tension more pronounced than in the architecture of massive data pipelines processing Personally Identifiable Information (PII), such as Social […]

